GSA Training Notes Raft and Piled-raft Analysis

Size: px
Start display at page:

Download "GSA Training Notes Raft and Piled-raft Analysis"

Transcription

1 GSA Tranng Notes Rat and Pled-rat Analyss 1 Introdcton Rat analyss n GSA provdes a means o lnkng GSA statc analyss and sol settlement analyss, so the sol-strctre nteractons can be consdered n the analyss. In ths analyss, the typcal strctre model s a rat or a pled-rat that s connected to the sol beneath by rat nteracton nodes or ple nteracton nodes. Sol settlement analyss s condcted sng Oasys Pdsp program whch s seamlessly embedded n GSA, so explct se o Pdsp program s not reqred when dong rat or pled-rat analyss n GSA. Rat analyss s an teratve process whch, when converged, gves compatble settlements between sol and rat or pled-rat at the nteracton ponts. As mentoned above, Pdsp s a program that calclates sol settlements (and stresses Bossnesq analyss method s sed) wthn a non-lnear elastc sol mass arsng rom vertcal and/or horzontal norm pressre loads appled to rectanglar and/or crclar areas. Pdsp can be sed to predct sol settlements arsng rom the actons o more than one sol pressre loads to gve sers an nderstandng o the lkely settlement pattern both beneath and beyond the bldng beng analysed. It eectvely replaces the need or the engneers to se Newmark charts and other smlar devces. Becase Pdsp has been embedded and sed n GSA, the GSA data relatng to Pdsp can be mported rom or exported to Pdsp as well as edted drectly wthn GSA. 2 Data Reqrements Snce sol nteractons need to be consdered n rat or pled-rat analyss, categorcally, the data reqred or rat or pled-rat analyss are more than those reqred or an ordnary strctre analyss. Bascally, there are three derent types o data are reqred to do a rat or pled-rat analyss and they are: 2.1 Rat or pled-rat model data To bld p a rat or pled-rat model s the same as bldng p other types o strctre models, e.g. the rat can be modelled by grllage o beam elements or 2D elements and ples can be modelled by beam or bar elements. Snce rat wll nteract wth sol n vertcal drecton (not n horzontal drecton) and ples wll nteracton wth sols n all three drectons, explct nodal constrants or these nodes n the relevant drecton are not necessary. I explct nodal constrants are speced to any o those nodes, the sol nteracton o those nodes wll be gnored. 2.2 Sol data These data are exactly the same as those n Pdsp program when sed as a standalone program. For detaled descrpton o these data, reer to the Pdsp ser manal. The data tables or npttng or edtng these data n GSA can be opened ether rom men tem `Data Rat Pdsp Data or rom Gateway tab `Rat Pdsp Data. There are two optons or sol settlement analyss, Mndln and Bossnesq. Ths can be set when gong throgh analyss wzard or rat analyss, the dealt analyss opton can also be set on Rat Speccaton. The derences between these two methods are broadly as ollows: Mndln: No stress reslts are calclated. The analyss reslts are not senstve to the nmber o ntermedate dsplacement levels n sol prole denton, so ewer ntermedate dsplacement levels can be sed to GSA Tranng Notes Rat and Pled-rat Analyss 1 o 6

2 enhance the analyss speed. I the thckness o the sol layer s relatvely small, zero ntermedate dsplacement levels can be sed. Can take both vertcal and horzontal loads and calclate both vertcal and horzontal sol dsplacements. Bossnesq: Do prodce stress reslts n the sol The analyss reslts are senstve to the nmber o ntermedate levels n sol prole denton. More ntermedate dsplacement levels wll prodce more accrate reslts. Slow, especally when the nmber o ntermedate dsplacements nterval s large Cannot take horzontal loads and do not calclate horzontal sol dsplacements. Generally, stresses wthn sol are nterested, Bossnesq analyss method shold be sed, otherwse sng Mndln method s recommended. Snce Bossnesq method does not calclate horzontal dsplacements o sol, t cannot be sed when dong pled-rat analyss. The loads on sol rom rat or ples are generated atomatcally drng rat or pled-rat analyss and they shold not be nclded n the Pdsp load data. Only addtonal loads to those rom rat or ples shold be dened n Pdsp load data table. The sol layers and zones can also be dsplayed on graphc vew and the dsplay can be trned on and o rom Dsplay Methods page o Labels and Dsplay Methods settngs. 2.3 Sol-Rat and sol-ple nteracton data Ater rat or pled-rat model and sol data have been dened, we also need to tell GSA whch parts o the rat and ples wll nteract wth sol. These can be dened on Rat Interacton table and Ple Interacton table. Rat Interacton table denes the nodes on rat that nteract wth sol n vertcal drecton snce rat does not nteract wth sol n horzontal drecton. Ple Interacton table denes the nodes on ples that nteract wth sol n all three drectons. The two tables can be opened rom men tem `Data Rat Rat (or Ple) Interacton or rom Gateway nder Rat tab. The sol-rat and sol-ple contact area at each node as well as the elevaton o nteracton pont can also be dened n these two tables and normally Atomatc s sed. Note that the horzontal postons o the nteracton area are generated atomatcally by GSA based on the coordnates o the nodes on rat and ples as well as sol zone denton, so they do not need to be dened. The dsplay o sol nteracton areas and reerence nmbers on graphc vew can be trned on or o rom On Nodes page o Labels and Dsplay Methods settngs. 3 GsRat Solton Method The rat and pled-rat analyss solton s an teratve process lnkng the lnear analyss solver (GSS) o strctre analyss and the sol settlement analyss solver (Pdsp). The process terates ntl rat, ples and sol have compatble dsplacements wthn speced convergence crtera,.e. the derence o dsplacements between rat and sol at the same pont shold be wthn the speced tolerance and the derence o dsplacements between ple and sol shold generate the correct reacton orces rom sol to the ples based on the Ple Sol Interacton Coecent crves (See GSA manal or detals o Ple Sol Interacton Coecent crves). I t s a pre rat analyss, the rst stage n the analyss s a lnear statc (GSS) analyss or the rat model only wth spport sprngs representng sol spports. The sol nder each rat nteracton node s represented by a spport stness. I ntal spport stness o the nodes has not been speced, the dealt ntal spport stness wll be sed. The dealt spport stness can be changed on rat analyss wzards. Ater the GSS analyss, the pressre loads on the sol at the nteracton pont are calclated sng the sprng orces and the nteracton areas, then Pdsp analyss s carred ot to determne the sol settlements at the nteracton ponts. From the sol settlements and the sprng orces, new spport GSA Tranng Notes Rat and Pled-rat Analyss 2 o 6

3 stness are calclated or the Rat model. Ths teraton contnes ntl the convergence crtera are satsed. I spport stness has been dened or the nteracton nodes n the rat model beore rat analyss, they wll be restored to ther orgnal vales ater rat analyss. I lag save sol stness s set rom the analyss wzard, the spport stness o the nteracton nodes at the last teraton wll be saved and the orgnal GSA model wll be moded. I t s a pled-rat model, the teraton process or the rat nteracton nodes wll be the same as rat model as explaned above and the ple sol teraton procedres are as ollows. Sol maxmm stress dened n Ple-Sol Interacton Propertes table s sed to lmt the contact pressre between ples and sol. The actal contact pressre between sol and ple s determned based on: (1) the relatve dsplacements between sol and ple at the same pont; (2) the Ple-Sol Interacton Coecent crve, the vertcal axs o ths crve s a percentage and the maxmm s 100%, the horzontal axs o ths crve s the normalsed relatve dsplacement between sol and ple at the same pont. Ths crve s sed to determne the crrent ple sol contact pressre whch s a percentage o the maxmm sol stress; (3) the maxmm sol stress at the nteracton pont. Once ple sol contact pressre s known, the reacton orces rom sol to ple n the relevant drecton can be determned whch, n the converged state, shold make the ple n eqlbrm. The teraton o the analyss wll stop when all the ples are n eqlbrm and the sol reacton orces to all the ples are compatble wth the relevant Ple-Sol Interacton Coecent crves. 3.1 Iteraton scheme or rat nteracton nodes The program terates throgh the ollowng steps ntl convergence s reached: 1. For each nteracton node that, generate a vertcal sprng spport wth the stness beng dened as ollows: the ntal spport stnesses have been dened or the node, these wll be sed, otherwse, the dealt ntal spport stness dened n the Analyss Wzard wll be sed. 2. Rn GSS lnear statc analyss to get dsplacements rat and sprng-spport orces,. 3. For each sol-strctre nteracton pont, generate a sol pressre load, p, sng p = A p = 0 otherwse > p where A s the nteracton area assocated wth the nteracton node. 4. Rn Pdsp analyss to get sol dsplacement, sol. 5. Check the dsplacement resdal and, converged, save the reslts and stop the analyss. 6. Adjst the nodal stness or apply nodal dsplacements. I and rat > sol sol < 0 then the sol has moved above rat, so nstead o adjstng the sprng spport stness a nodal dsplacement s mposed, eqal to the sol dsplacement, sol, to ensre that the rat s ltedp by the sol. Otherwse a new sprng stness s calclated rom k = GSA Tranng Notes Rat and Pled-rat Analyss 3 o 6 sol mn A

4 Note that or advanced sers there s a dampng parameter, d, that adjsts the stness pdate. Ths can have a vale between 0 and 1, wth the dealt beng 0. In ths case the new stness s: k = d k + 1 prev ( d ) sol 3.2 Iteraton scheme or ple nteracton nodes The program terates throgh the ollowng steps ntl convergence s reached: 1. For each nteracton node, generate sprng spports n all three drectons based on the ntal stness o Ple Sol Interacton Coecent (PSIC) crve and the sol stness at the nteracton pont, the spport stness s calclated rom k = k s k c Where K s s the sol stness n the relevant drecton and K c s the ntal stness o PSIC crve. 2. Rn GSS lnear statc analyss to get nodal dsplacements ple and sprng-spport orces,. 3. For each ple nteracton pont, calclate the pressre load, p, on sol sng the relatve dsplacement between ple and sol, sol maxmm stress and PSIC crve 4. Rn Pdsp analyss to get sol dsplacement, sol. 5. Check the compatblty o sol dsplacement, ple dsplacement, ple sol nteracton pressre and ple eqlbrm, satsed, save the reslts and stop the analyss. 6. Calclate compensaton orce com to ple nteracton node to be sed n next GSS analyss snce the spport sprng stness on ple nteracton nodes are kept constant drng ths teraton analyss, so the real reacton rom the sol to the ple wll be the orces n the sprng mns the compensaton orce, Where: com compensaton orce to ple nteracton node spport sprng orce o ple nteracton node com = c c correct sol reacton orce to ple nteracton node whch s eqal to the sol pressre load, p calclated on step 3 tmes the contact area o ple nteracton node. 7. Add the compensaton orce com to ple nteracton node as nodal load and go to step 2. 4 Analyss A rat or pled-rat analyss s set p sng the Analyss Wzard rom the `Analyss New Analyss Task men command. Select Rat analyss on the rst page o the wzard, on the second page o the wzard, the sol analyss method (Mndln or Bossnesq) as well as acceptable resdals can be dened or the analyss. I t s a pled-rat analyss, Mndln analyss shold be selected, otherwse the analyss wll not rn. The dampng rato and dealt ntal spport stness can also be dened on ths page by clckng btton Dampng and Stness, bt normally they do not need to be changed and the dealt vales are approprate. At the start o the analyss the dealt ntal spport stness s assgned to all rat nteracton nodes GSA Tranng Notes Rat and Pled-rat Analyss 4 o 6

5 and constant spport stness or ple nteracton nodes wll be calclated as explaned above, then the teraton wll start. As the analyss s an teratve process, a progress dalog box s pop p drng the analyss and the resdals and dampng rato can also be adjsted drng the analyss. 5 Reslts The reslts o a rat or pled-rat analyss are presented n the same way as the reslts rom other lnear statc analyss. Analyss reslts o sol (dsplacements or stresses) wll also be presented n the same way as the reslts n Pdsp program, bt they can be vewed drectly wthn GSA. In GSA the nteracton orces between the rat and the sol are reported as sol nodal reslts, whch may be vewed on Otpt Vews or on Graphc Vews as dagrams or contors. The Total Loads & Reactons otpt that GSA oers as a Global Reslt n Otpt Vews reports the total reacton at sol spports. The dsplacements o the rat and ple nteracton nodes can be vewed as Nodal Dsplacements n GSA. The eqvalent sol stness at each o the nteracton nodes s eqal to the sol spport orce dvded by the dsplacement at the node n the relevant drecton. See also `Create New Rat Model tool below. Pdsp reslts can be vewed by selectng the `Data Rat Pdsp Data Reslts men command. 6 Notes On Rat and Pled-rat Analyss 6.1 Mltple GsRat analyses More than one rat analyss can be rn on a sngle GSA model and mltple sets o GSA reslts can be stored. However only one set o Pdsp reslts are held, relatng to the last case analysed. 6.2 Export and mport o Pdsp data Pdsp data les (*.pdd) can be mported nto GSA sng the `Fle Import Pdsp men command. The analyss reslts n Pdsp data wll be gnored n the mport snce they are meanngless when mported nto GSA. The Pdsp data generated n GSA can also be exported nto Pdsp ormat sng the `Fle Export Pdsp men command. I GsRat reslts exst when exportng Pdsp data the eqvalent sol loads wll be calclated and they wll be exported along wth the other Pdsp data. 6.3 The `Create New Rat Model tool Ater the completon o a converged rat analyss t s possble to generate a new rat model n whch spport stnesses eqvalent to the sol acton are added to the crrent rat model. Ths s done sng the `Tools Rat Analyss Create New rat Model men command. Creatng a new model n ths way wll mody the crrent model so t s recommended that the crrent model be saved beore gvng ths command. The spport stnesses are derved rom the sol reacton orces and the nodal dsplacements. I rat analyss reslts exst or several analyss cases then an analyss case mst be selected or the calclaton. 6.4 Contnaton rns The Create New Rat Model tool can be sed to restart a rat analyss, e.g. ater dong a rat analyss and then rn ths tool command, a new model wll be created wth eqvalent spport stness to the sol beneath, then rther rat analyss can bb rn more qckly. In ths way the preserved spport stnesses rom rnnng ths tool command wll be sed as the ntal stnesses o the rat nteracton node n the new rat analyss and ths wll speed p the new rat analyss snce the ntal spport stness may be more close to the actal sol stness. It s sometmes sel to do an ntal analyss wth coarse convergence crtera to examne the potental or convergence. The rat analyss can then be contned by sng the Create New Rat GSA Tranng Notes Rat and Pled-rat Analyss 5 o 6

6 Model tool to generate a new model wth revsed ntal spport stnesses and then analysng wth more demandng convergence crtera. 6.5 Vew analyss progress on Graphc vew All Graphc vews are pdated ater each teraton drng a rat analyss, ths means that the progress o the analyss can be observed on graphc vew drng the analyss, e.g. the dsplacements, bendng moment and contact pressre etc can be vewed drng the analyss or each o the teratons. GSA Tranng Notes Rat and Pled-rat Analyss 6 o 6

Modeling Local Uncertainty accounting for Uncertainty in the Data

Modeling Local Uncertainty accounting for Uncertainty in the Data Modelng Local Uncertanty accontng for Uncertanty n the Data Olena Babak and Clayton V Detsch Consder the problem of estmaton at an nsampled locaton sng srrondng samples The standard approach to ths problem

More information

Computer models of motion: Iterative calculations

Computer models of motion: Iterative calculations Computer models o moton: Iteratve calculatons OBJECTIVES In ths actvty you wll learn how to: Create 3D box objects Update the poston o an object teratvely (repeatedly) to anmate ts moton Update the momentum

More information

Scheduling with Integer Time Budgeting for Low-Power Optimization

Scheduling with Integer Time Budgeting for Low-Power Optimization Schedlng wth Integer Tme Bdgetng for Low-Power Optmzaton We Jang, Zhr Zhang, Modrag Potkonjak and Jason Cong Compter Scence Department Unversty of Calforna, Los Angeles Spported by NSF, SRC. Otlne Introdcton

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

11. HARMS How To: CSV Import

11. HARMS How To: CSV Import and Rsk System 11. How To: CSV Import Preparng the spreadsheet for CSV Import Refer to the spreadsheet template to ad algnng spreadsheet columns wth Data Felds. The spreadsheet s shown n the Appendx, an

More information

Help for Time-Resolved Analysis TRI2 version 2.4 P Barber,

Help for Time-Resolved Analysis TRI2 version 2.4 P Barber, Help for Tme-Resolved Analyss TRI2 verson 2.4 P Barber, 22.01.10 Introducton Tme-resolved Analyss (TRA) becomes avalable under the processng menu once you have loaded and selected an mage that contans

More information

Hybrid Method of Biomedical Image Segmentation

Hybrid Method of Biomedical Image Segmentation Hybrd Method of Bomedcal Image Segmentaton Mng Hng Hng Department of Electrcal Engneerng and Compter Scence, Case Western Reserve Unversty, Cleveland, OH, Emal: mxh8@case.ed Abstract In ths paper we present

More information

Configure Address Book. Configure Show Send To. Options Supervision Message. Options Flood Preventer

Configure Address Book. Configure Show Send To. Options Supervision Message. Options Flood Preventer FlashPont Sotware Inc. eomega Pagng Sotware Qualty Sotware For The Fre Alarm Industry Descrpton eomega pagng sotware provdes a means o convertng prnter output rom a Smplex re alarm panel nto short messages.

More information

A General Algorithm for Computing Distance Transforms in Linear Time

A General Algorithm for Computing Distance Transforms in Linear Time Ths chapter has been pblshed as: A. Mejster, J. B. T. M. Roerdnk and W. H. Hesselnk, A general algorthm for comptng dstance transforms n lnear tme. In: Mathematcal Morphology and ts Applcatons to Image

More information

Support Vector Machines

Support Vector Machines /9/207 MIST.6060 Busness Intellgence and Data Mnng What are Support Vector Machnes? Support Vector Machnes Support Vector Machnes (SVMs) are supervsed learnng technques that analyze data and recognze patterns.

More information

USING GRAPHING SKILLS

USING GRAPHING SKILLS Name: BOLOGY: Date: _ Class: USNG GRAPHNG SKLLS NTRODUCTON: Recorded data can be plotted on a graph. A graph s a pctoral representaton of nformaton recorded n a data table. t s used to show a relatonshp

More information

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009.

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009. Farrukh Jabeen Algorthms 51 Assgnment #2 Due Date: June 15, 29. Assgnment # 2 Chapter 3 Dscrete Fourer Transforms Implement the FFT for the DFT. Descrbed n sectons 3.1 and 3.2. Delverables: 1. Concse descrpton

More information

An Improved Isogeometric Analysis Using the Lagrange Multiplier Method

An Improved Isogeometric Analysis Using the Lagrange Multiplier Method An Improved Isogeometrc Analyss Usng the Lagrange Mltpler Method N. Valzadeh 1, S. Sh. Ghorash 2, S. Mohammad 3, S. Shojaee 1, H. Ghasemzadeh 2 1 Department of Cvl Engneerng, Unversty of Kerman, Kerman,

More information

Analog amplifier card Type VT-VSPA2-1-2X/V0/T1 Type VT-VSPA2-1-2X/V0/T5

Analog amplifier card Type VT-VSPA2-1-2X/V0/T1 Type VT-VSPA2-1-2X/V0/T5 Analog amplfer card Type VT-VPA2--2X/V0/T Type VT-VPA2--2X/V0/T5 RE 300-Z/0. Replace: 02. /0 Addtonal nfmaton Infmaton regardng the converson of dfferent amplfer cards to amplfer card type VT-VPA2--2X/V0/T

More information

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL)

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL) Crcut Analyss I (ENG 405) Chapter Method of Analyss Nodal(KCL) and Mesh(KVL) Nodal Analyss If nstead of focusng on the oltages of the crcut elements, one looks at the oltages at the nodes of the crcut,

More information

J1.8 APPLICATION OF CFD SIMULATIONS FOR SHORT-RANGE ATMOSPHERIC DISPERSION OVER OPEN FIELDS AND WITHIN ARRAYS OF BUILDINGS

J1.8 APPLICATION OF CFD SIMULATIONS FOR SHORT-RANGE ATMOSPHERIC DISPERSION OVER OPEN FIELDS AND WITHIN ARRAYS OF BUILDINGS AMS th Jont Conference on the Applcatons of Ar Pollton Meteorology wth the A&WMA, Atlanta, GA, Jan - Feb, 6. J.8 APPLICATION OF CFD SIMULATIONS FOR SHORT-RANGE ATMOSPHERIC DISPERSION OVER OPEN FIELDS AND

More information

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp Lfe Tables (Tmes) Summary... 1 Data Input... 2 Analyss Summary... 3 Survval Functon... 5 Log Survval Functon... 6 Cumulatve Hazard Functon... 7 Percentles... 7 Group Comparsons... 8 Summary The Lfe Tables

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information

Restaurants Review Star Prediction for Yelp Dataset

Restaurants Review Star Prediction for Yelp Dataset Restarants Revew Star Predcton for Yelp Dataset Mengq Y UC San Dego A53077101 mey004@eng.csd.ed Meng Xe UC San Dego A53070417 m6xe@eng.csd.ed Wenja Oyang UC San Dego A11069530 weoyang@eng.csd.ed ABSTRACT

More information

OBJECT TRACKING BY ADAPTIVE MEAN SHIFT WITH KERNEL BASED CENTROID METHOD

OBJECT TRACKING BY ADAPTIVE MEAN SHIFT WITH KERNEL BASED CENTROID METHOD ISSN : 0973-739 Vol. 3, No., Janary-Jne 202, pp. 39-42 OBJECT TRACKING BY ADAPTIVE MEAN SHIFT WITH KERNEL BASED CENTROID METHOD Rahl Mshra, Mahesh K. Chohan 2, and Dhraj Ntnawwre 3,2,3 Department of Electroncs,

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

LS-TaSC Version 2.1. Willem Roux Livermore Software Technology Corporation, Livermore, CA, USA. Abstract

LS-TaSC Version 2.1. Willem Roux Livermore Software Technology Corporation, Livermore, CA, USA. Abstract 12 th Internatonal LS-DYNA Users Conference Optmzaton(1) LS-TaSC Verson 2.1 Wllem Roux Lvermore Software Technology Corporaton, Lvermore, CA, USA Abstract Ths paper gves an overvew of LS-TaSC verson 2.1,

More information

Using BESO method to optimize the shape and reinforcement of the underground openings

Using BESO method to optimize the shape and reinforcement of the underground openings Usng BS method to optmze the shape and renforcement of the ndergrond openngs. Ghabrae, Y.M. Xe & X. Hang School of Cvl, nvronmental and Chemcal ngneerng, MI Unversty, Melborne, Astrala ABSAC: In excavaton

More information

Module 6: FEM for Plates and Shells Lecture 6: Finite Element Analysis of Shell

Module 6: FEM for Plates and Shells Lecture 6: Finite Element Analysis of Shell Module 6: FEM for Plates and Shells Lecture 6: Fnte Element Analyss of Shell 3 6.6. Introducton A shell s a curved surface, whch by vrtue of ther shape can wthstand both membrane and bendng forces. A shell

More information

Vibration Characteristic Analysis of Axial Fan Shell Based on ANSYS Workbench

Vibration Characteristic Analysis of Axial Fan Shell Based on ANSYS Workbench Internatonal Conference on Logstcs Engneerng, Management and Computer Scence (LEMCS 2015) Vbraton Characterstc Analyss of Axal Fan Shell Based on ANSYS Workbench Lchun Gu College of Mechancal and Electrcal

More information

GSLM Operations Research II Fall 13/14

GSLM Operations Research II Fall 13/14 GSLM 58 Operatons Research II Fall /4 6. Separable Programmng Consder a general NLP mn f(x) s.t. g j (x) b j j =. m. Defnton 6.. The NLP s a separable program f ts objectve functon and all constrants are

More information

124 Chapter 8. Case Study: A Memory Component ndcatng some error condton. An exceptonal return of a value e s called rasng excepton e. A return s ssue

124 Chapter 8. Case Study: A Memory Component ndcatng some error condton. An exceptonal return of a value e s called rasng excepton e. A return s ssue Chapter 8 Case Study: A Memory Component In chapter 6 we gave the outlne of a case study on the renement of a safe regster. In ths chapter wepresent the outne of another case study on persstent communcaton;

More information

Numerical Solution of Deformation Equations. in Homotopy Analysis Method

Numerical Solution of Deformation Equations. in Homotopy Analysis Method Appled Mathematcal Scences, Vol. 6, 2012, no. 8, 357 367 Nmercal Solton of Deformaton Eqatons n Homotopy Analyss Method J. Izadan and M. MohammadzadeAttar Department of Mathematcs, Faclty of Scences, Mashhad

More information

3D vector computer graphics

3D vector computer graphics 3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

Topology Design using LS-TaSC Version 2 and LS-DYNA

Topology Design using LS-TaSC Version 2 and LS-DYNA Topology Desgn usng LS-TaSC Verson 2 and LS-DYNA Wllem Roux Lvermore Software Technology Corporaton, Lvermore, CA, USA Abstract Ths paper gves an overvew of LS-TaSC verson 2, a topology optmzaton tool

More information

A DATA ANALYSIS CODE FOR MCNP MESH AND STANDARD TALLIES

A DATA ANALYSIS CODE FOR MCNP MESH AND STANDARD TALLIES Supercomputng n uclear Applcatons (M&C + SA 007) Monterey, Calforna, Aprl 15-19, 007, on CD-ROM, Amercan uclear Socety, LaGrange Par, IL (007) A DATA AALYSIS CODE FOR MCP MESH AD STADARD TALLIES Kenneth

More information

C I R E D 18 th International Conference on Electricity Distribution Turin, 6-9 June 2005 ABSTRACT

C I R E D 18 th International Conference on Electricity Distribution Turin, 6-9 June 2005 ABSTRACT C I R E D 8 th Internatonal Conference on Electrcty Dstrbton Trn, 6-9 Jne 2005 FREQUENCY OF OCCURRENCE OF VOLTAGE OF PECIFIC IZE TO OCCUR AT THE NODE OF DITRIBUTION AND TRANMIION POWER YTEM IN CAE OF A

More information

Lecture 08 Multiple View Geometry 2

Lecture 08 Multiple View Geometry 2 Insttte of Informatcs Insttte of Neronformatcs Lectre 8 Mltple Vew Geometry Dade Scaramzza http://rpg.f.zh.ch/ Lab Exercse 6 - Today afternoon Room ETH HG E. from 3:5 to 5: Work descrpton: 8-pont algorthm

More information

Multiple-Choice Test Chapter Golden Section Search Method Optimization COMPLETE SOLUTION SET

Multiple-Choice Test Chapter Golden Section Search Method Optimization COMPLETE SOLUTION SET Mltiple-Choice Test Chapter 09.0 Golden Section Search Method Optimization COMPLETE SOLUTION SET. Which o the ollowing statements is incorrect regarding the Eqal Interval Search and Golden Section Search

More information

Active Contours/Snakes

Active Contours/Snakes Actve Contours/Snakes Erkut Erdem Acknowledgement: The sldes are adapted from the sldes prepared by K. Grauman of Unversty of Texas at Austn Fttng: Edges vs. boundares Edges useful sgnal to ndcate occludng

More information

Analysis of 3D Cracks in an Arbitrary Geometry with Weld Residual Stress

Analysis of 3D Cracks in an Arbitrary Geometry with Weld Residual Stress Analyss of 3D Cracks n an Arbtrary Geometry wth Weld Resdual Stress Greg Thorwald, Ph.D. Ted L. Anderson, Ph.D. Structural Relablty Technology, Boulder, CO Abstract Materals contanng flaws lke nclusons

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

12/2/2009. Announcements. Parametric / Non-parametric. Case-Based Reasoning. Nearest-Neighbor on Images. Nearest-Neighbor Classification

12/2/2009. Announcements. Parametric / Non-parametric. Case-Based Reasoning. Nearest-Neighbor on Images. Nearest-Neighbor Classification Introducton to Artfcal Intellgence V22.0472-001 Fall 2009 Lecture 24: Nearest-Neghbors & Support Vector Machnes Rob Fergus Dept of Computer Scence, Courant Insttute, NYU Sldes from Danel Yeung, John DeNero

More information

Ecient Computation of the Most Probable Motion from Fuzzy. Moshe Ben-Ezra Shmuel Peleg Michael Werman. The Hebrew University of Jerusalem

Ecient Computation of the Most Probable Motion from Fuzzy. Moshe Ben-Ezra Shmuel Peleg Michael Werman. The Hebrew University of Jerusalem Ecent Computaton of the Most Probable Moton from Fuzzy Correspondences Moshe Ben-Ezra Shmuel Peleg Mchael Werman Insttute of Computer Scence The Hebrew Unversty of Jerusalem 91904 Jerusalem, Israel Emal:

More information

BITPLANE AG IMARISCOLOC. Operating Instructions. Manual Version 1.0 January the image revolution starts here.

BITPLANE AG IMARISCOLOC. Operating Instructions. Manual Version 1.0 January the image revolution starts here. BITPLANE AG IMARISCOLOC Operatng Instructons Manual Verson 1.0 January 2003 the mage revoluton starts here. Operatng Instructons BITPLANE AG Copyrght Ths document contans propretary nformaton protected

More information

Fitting: Deformable contours April 26 th, 2018

Fitting: Deformable contours April 26 th, 2018 4/6/08 Fttng: Deformable contours Aprl 6 th, 08 Yong Jae Lee UC Davs Recap so far: Groupng and Fttng Goal: move from array of pxel values (or flter outputs) to a collecton of regons, objects, and shapes.

More information

Local Run Manager Generate FASTQ Analysis Module

Local Run Manager Generate FASTQ Analysis Module Local Rn Manager Generate FASTQ Analysis Modle Workflow Gide For Research Use Only. Not for se in diagnostic procedres. Overview 3 Set Parameters 3 Analysis Methods 5 View Analysis Reslts 5 Analysis Report

More information

IP Camera Configuration Software Instruction Manual

IP Camera Configuration Software Instruction Manual IP Camera 9483 - Confguraton Software Instructon Manual VBD 612-4 (10.14) Dear Customer, Wth your purchase of ths IP Camera, you have chosen a qualty product manufactured by RADEMACHER. Thank you for the

More information

MIKE ZERO: Creating 2D Bathymetries. Bathymetry Editor & Mesh Generator. Scientific Documentation

MIKE ZERO: Creating 2D Bathymetries. Bathymetry Editor & Mesh Generator. Scientific Documentation MIKE ZERO: Creatng D Bathymetres Bathymetry Edtor & Mesh Generator Scentfc Documentaton MIKE 7 DHI headquarters Agern Allé 5 DK-97 Hørsholm Denmark +45 456 9 Telephone +45 456 9333 Support +45 456 99 Telefax

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) ,

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) , VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES

VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES UbCC 2011, Volume 6, 5002981-x manuscrpts OPEN ACCES UbCC Journal ISSN 1992-8424 www.ubcc.org VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES

More information

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated.

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated. Some Advanced SP Tools 1. umulatve Sum ontrol (usum) hart For the data shown n Table 9-1, the x chart can be generated. However, the shft taken place at sample #21 s not apparent. 92 For ths set samples,

More information

An Optimal Algorithm to Find a Minimum 2-neighbourhood Covering Set on Cactus Graphs

An Optimal Algorithm to Find a Minimum 2-neighbourhood Covering Set on Cactus Graphs Annals of Pre Appled Mathematcs Vol 2 No 1 212 45-59 ISSN: 2279-87X (P) 2279-888(onlne) Pblshed on 18 December 212 wwwresearchmathscorg Annals of An Optmal Algorthm to Fnd a Mnmm 2-neghborhood overng Set

More information

Obstacle Avoidance by Using Modified Hopfield Neural Network

Obstacle Avoidance by Using Modified Hopfield Neural Network bstacle Avodance by Usng Modfed Hopfeld Neral Network Panrasee Rtthpravat Center of peraton for Feld Robotcs Development (FIB), Kng Mongkt s Unversty of Technology Thonbr. 91 Sksawas road Tongkr Bangkok

More information

Lecture notes: Histogram, convolution, smoothing

Lecture notes: Histogram, convolution, smoothing Lecture notes: Hstogram, convoluton, smoothng Hstogram. A plot o the ntensty dstrbuton n an mage. requency (# occurrences) ntensty The ollowng shows an example mage and ts hstogram: I we denote a greyscale

More information

Analysis of Continuous Beams in General

Analysis of Continuous Beams in General Analyss of Contnuous Beams n General Contnuous beams consdered here are prsmatc, rgdly connected to each beam segment and supported at varous ponts along the beam. onts are selected at ponts of support,

More information

Slide 1 SPH3UW: OPTICS I. Slide 2. Slide 3. Introduction to Mirrors. Light incident on an object

Slide 1 SPH3UW: OPTICS I. Slide 2. Slide 3. Introduction to Mirrors. Light incident on an object Slde 1 SPH3UW: OPTICS I Introducton to Mrrors Slde 2 Lght ncdent on an object Absorpton Relecton (bounces)** See t Mrrors Reracton (bends) Lenses Oten some o each Everythng true or wavelengths

More information

Using Geometric Primitives to Calibrate Traffic Scenes

Using Geometric Primitives to Calibrate Traffic Scenes Usng Geometrc Prmtves to Calbrate Traffc Scenes Osama Masod Department of Compter Scence and Engneerng Unverst of Mnnesota Mnneapols, MN masod@cs.mn.ed Nkolaos P. Papankolopolos Department of Compter Scence

More information

Loop Permutation. Loop Transformations for Parallelism & Locality. Legality of Loop Interchange. Loop Interchange (cont)

Loop Permutation. Loop Transformations for Parallelism & Locality. Legality of Loop Interchange. Loop Interchange (cont) Loop Transformatons for Parallelsm & Localty Prevously Data dependences and loops Loop transformatons Parallelzaton Loop nterchange Today Loop nterchange Loop transformatons and transformaton frameworks

More information

Cable optimization of a long span cable stayed bridge in La Coruña (Spain)

Cable optimization of a long span cable stayed bridge in La Coruña (Spain) Computer Aded Optmum Desgn n Engneerng XI 107 Cable optmzaton of a long span cable stayed brdge n La Coruña (Span) A. Baldomr & S. Hernández School of Cvl Engneerng, Unversty of Coruña, La Coruña, Span

More information

ANSYS FLUENT 12.1 in Workbench User s Guide

ANSYS FLUENT 12.1 in Workbench User s Guide ANSYS FLUENT 12.1 n Workbench User s Gude October 2009 Copyrght c 2009 by ANSYS, Inc. All Rghts Reserved. No part of ths document may be reproduced or otherwse used n any form wthout express wrtten permsson

More information

Detection of hand grasping an object from complex background based on machine learning co-occurrence of local image feature

Detection of hand grasping an object from complex background based on machine learning co-occurrence of local image feature Detecton of hand graspng an object from complex background based on machne learnng co-occurrence of local mage feature Shnya Moroka, Yasuhro Hramoto, Nobutaka Shmada, Tadash Matsuo, Yoshak Shra Rtsumekan

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 15

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 15 CS434a/541a: Pattern Recognton Prof. Olga Veksler Lecture 15 Today New Topc: Unsupervsed Learnng Supervsed vs. unsupervsed learnng Unsupervsed learnng Net Tme: parametrc unsupervsed learnng Today: nonparametrc

More information

LDAP Configuration Guide

LDAP Configuration Guide LDAP Configration Gide Content Content LDAP directories on Gigaset phones............................................... 3 Configration.....................................................................

More information

A combined test for randomness of spatial distribution of composite microstructures

A combined test for randomness of spatial distribution of composite microstructures ISSN 57-7076 Revsta Matéra, v., n. 4, pp. 597 60, 007 http://www.matera.coppe.frj.br/sarra/artgos/artgo0886 A combned test for randomness of spatal dstrbton of composte mcrostrctres ABSTRACT João Domngos

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Edge Detection in Noisy Images Using the Support Vector Machines

Edge Detection in Noisy Images Using the Support Vector Machines Edge Detecton n Nosy Images Usng the Support Vector Machnes Hlaro Gómez-Moreno, Saturnno Maldonado-Bascón, Francsco López-Ferreras Sgnal Theory and Communcatons Department. Unversty of Alcalá Crta. Madrd-Barcelona

More information

Springback Reduction in Stamping of Front Side Member with a Response Surface Method

Springback Reduction in Stamping of Front Side Member with a Response Surface Method Sprngback Reducton n Stampng of Front Sde Member wth a Response Surface Method Jung-Han Song *, Hoon Huh *, Se-Ho Km **, Sung-Ho Park *** * Department of Mechancal Engneerng, Korea Advanced Insttute of

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

Setup and Use. For events not using AuctionMaestro Pro. Version /7/2013

Setup and Use. For events not using AuctionMaestro Pro. Version /7/2013 Verson 3.1.2 2/7/2013 Setup and Use For events not usng AuctonMaestro Pro MaestroSoft, Inc. 1750 112th Avenue NE, Sute A200, Bellevue, WA 98004 425.688.0809 / 800.438.6498 Fax: 425.688.0999 www.maestrosoft.com

More information

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide Lobachevsky State Unversty of Nzhn Novgorod Polyhedron Quck Start Gude Nzhn Novgorod 2016 Contents Specfcaton of Polyhedron software... 3 Theoretcal background... 4 1. Interface of Polyhedron... 6 1.1.

More information

LINE ARRAYS CONCEPTS AND MODELING TOOLS. Jeff Berryman May 29, 2010 / Rev. 1

LINE ARRAYS CONCEPTS AND MODELING TOOLS. Jeff Berryman May 29, 2010 / Rev. 1 LINE ARRAYS CONCEPTS AND MODELING TOOLS Jeff Berryman May 29, 2010 / Rev. 1 A lne array s a stack of loudspeaker systems n a sngle lne. The lne s usually curved. Uncurved lnes do not have desrable drectonal

More information

Chapter 1. Comparison of an O(N ) and an O(N log N ) N -body solver. Abstract

Chapter 1. Comparison of an O(N ) and an O(N log N ) N -body solver. Abstract Chapter 1 Comparson of an O(N ) and an O(N log N ) N -body solver Gavn J. Prngle Abstract In ths paper we compare the performance characterstcs of two 3-dmensonal herarchcal N-body solvers an O(N) and

More information

O n processors in CRCW PRAM

O n processors in CRCW PRAM PARALLEL COMPLEXITY OF SINGLE SOURCE SHORTEST PATH ALGORITHMS Mshra, P. K. Department o Appled Mathematcs Brla Insttute o Technology, Mesra Ranch-8355 (Inda) & Dept. o Electroncs & Electrcal Communcaton

More information

CS 534: Computer Vision Model Fitting

CS 534: Computer Vision Model Fitting CS 534: Computer Vson Model Fttng Sprng 004 Ahmed Elgammal Dept of Computer Scence CS 534 Model Fttng - 1 Outlnes Model fttng s mportant Least-squares fttng Maxmum lkelhood estmaton MAP estmaton Robust

More information

Modeling linkages in R using linkr

Modeling linkages in R using linkr Modelng lnkages n R usng lnkr Smulatng two- and three-dmensonal lnkage mechansms usng the R package lnkr Input dsplacement 0.0 0.2 0.4 0.6 0.8 1.0 Output dsplacement 0.0 0.2 0.4 0.6 0.8 1 / fma 0.4 0.6

More information

Smoothing Spline ANOVA for variable screening

Smoothing Spline ANOVA for variable screening Smoothng Splne ANOVA for varable screenng a useful tool for metamodels tranng and mult-objectve optmzaton L. Rcco, E. Rgon, A. Turco Outlne RSM Introducton Possble couplng Test case MOO MOO wth Game Theory

More information

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces Range mages For many structured lght scanners, the range data forms a hghly regular pattern known as a range mage. he samplng pattern s determned by the specfc scanner. Range mage regstraton 1 Examples

More information

Avaya Scopia XT Meeting Center

Avaya Scopia XT Meeting Center Avaya Scopa XT Meetng Center Quck Setup Gude Sngle Montor Dual Montor Package Content: Cart Components 3x/4x IEC320 Power Cords Internatonal (4xIEC) Outlet Strp Avaya Scopa XT Meetng Center Quck Setup

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

mquest Quickstart Version 11.0

mquest Quickstart Version 11.0 mquest Quckstart Verson 11.0 cluetec GmbH Emmy-Noether-Straße 17 76131 Karlsruhe Germany www.cluetec.de www.mquest.nfo cluetec GmbH Karlsruhe, 2016 Document verson 5 27.04.2016 16:59 > Propretary notce

More information

Machine Learning: Algorithms and Applications

Machine Learning: Algorithms and Applications 14/05/1 Machne Learnng: Algorthms and Applcatons Florano Zn Free Unversty of Bozen-Bolzano Faculty of Computer Scence Academc Year 011-01 Lecture 10: 14 May 01 Unsupervsed Learnng cont Sldes courtesy of

More information

MULTISTAGE OPTIMIZATION OF AUTOMOTIVE CONTROL ARM THROUGH TOPOLOGY AND SHAPE OPTIMIZATION. 1 Duane Detwiler, 2 Emily Nutwell*, 2 Deepak Lokesha

MULTISTAGE OPTIMIZATION OF AUTOMOTIVE CONTROL ARM THROUGH TOPOLOGY AND SHAPE OPTIMIZATION. 1 Duane Detwiler, 2 Emily Nutwell*, 2 Deepak Lokesha 6 th BETA CAE Internatonal Conference MULTISTAGE OPTIMIZATION OF AUTOMOTIVE CONTROL ARM THROUGH TOPOLOGY AND SHAPE OPTIMIZATION. 1 Duane Detwler, 2 Emly Nutwell*, 2 Deepak Lokesha 1 Honda R&D Amercas,

More information

The Go4 Analysis Framework Fit Tutorial v2.2

The Go4 Analysis Framework Fit Tutorial v2.2 The Go4 Analyss Framework Ft Tutoral v. J.Adamczewsk, M.Al-Turany, D.Bertn, H.G.Essel, S.Lnev 19 March 003 1 Gettng started... 5 1.1 Introducton... 5 1. Installng... 5 1.3 Theoretcal preface... 6 Go4Ft

More information

Report #1 Example. Semester

Report #1 Example. Semester Report # Eample Parallel FEM Class n Wnter Semester Kengo aajma Informaton Technology Center Techncal & Scentfc Comptng I (480-07) Semnar on Compter Scence I (480-04) Report-0 D Statc Lnear Elastc Problem

More information

Photo management applications

Photo management applications Techncal Note PR-TN 7/698 Issued: /7 Photo management applcatons M.A. Peters; P.M.F. Fonseca Phlps Research Europe PR-TN 7/698 Authors address M.A. Peters WB 4 marc.a.peters@phlps.com P.M.F. Fonseca WB

More information

Inverse Kinematics (part 2) CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Spring 2016

Inverse Kinematics (part 2) CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Spring 2016 Inverse Knematcs (part 2) CSE169: Computer Anmaton Instructor: Steve Rotenberg UCSD, Sprng 2016 Forward Knematcs We wll use the vector: Φ... 1 2 M to represent the array of M jont DOF values We wll also

More information

Calibrating a single camera. Odilon Redon, Cyclops, 1914

Calibrating a single camera. Odilon Redon, Cyclops, 1914 Calbratng a sngle camera Odlon Redon, Cclops, 94 Our goal: Recover o 3D structure Recover o structure rom one mage s nherentl ambguous??? Sngle-vew ambgut Sngle-vew ambgut Rashad Alakbarov shadow sculptures

More information

In the planar case, one possibility to create a high quality. curve that interpolates a given set of points is to use a clothoid spline,

In the planar case, one possibility to create a high quality. curve that interpolates a given set of points is to use a clothoid spline, Dscrete Farng of Curves and Surfaces Based on Lnear Curvature Dstrbuton R. Schneder and L. Kobbelt Abstract. In the planar case, one possblty to create a hgh qualty curve that nterpolates a gven set of

More information

AMath 483/583 Lecture 21 May 13, Notes: Notes: Jacobi iteration. Notes: Jacobi with OpenMP coarse grain

AMath 483/583 Lecture 21 May 13, Notes: Notes: Jacobi iteration. Notes: Jacobi with OpenMP coarse grain AMath 483/583 Lecture 21 May 13, 2011 Today: OpenMP and MPI versons of Jacob teraton Gauss-Sedel and SOR teratve methods Next week: More MPI Debuggng and totalvew GPU computng Read: Class notes and references

More information

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD Analyss on the Workspace of Sx-degrees-of-freedom Industral Robot Based on AutoCAD Jn-quan L 1, Ru Zhang 1,a, Fang Cu 1, Q Guan 1 and Yang Zhang 1 1 School of Automaton, Bejng Unversty of Posts and Telecommuncatons,

More information

Notes on Organizing Java Code: Packages, Visibility, and Scope

Notes on Organizing Java Code: Packages, Visibility, and Scope Notes on Organzng Java Code: Packages, Vsblty, and Scope CS 112 Wayne Snyder Java programmng n large measure s a process of defnng enttes (.e., packages, classes, methods, or felds) by name and then usng

More information

Distribution Analysis

Distribution Analysis Chapter II Dstrbuton Analyss D... (Absolute and Relatve Frequences) Let X be a characterstc possessng the attrbutesa, =,,..., k. The absolute frequency of the attrbutea, =,,..., k s defned as follows:

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

Parallel Iterative Poisson Solver for a Distributed Memory Architecture

Parallel Iterative Poisson Solver for a Distributed Memory Architecture Parallel Iteratve Posso Solver for a Dstrbted Memory Archtectre Erc Dow Aerospace Comptatoal Desg Lab Departmet of Aeroatcs ad Astroatcs 2 Motvato Solvg Posso s Eqato s a commo sbproblem may mercal schemes

More information

TEST-05 TOPIC: OPTICS COMPLETE

TEST-05 TOPIC: OPTICS COMPLETE Q. A boy s walkng under an nclned mrror at a constant velocty V m/s along the x-axs as shown n fgure. If the mrror s nclned at an angle wth the horzontal then what s the velocty of the mage? Y V sn + V

More information

dss-ip Manual digitalstrom Server-IP Operation & Settings

dss-ip Manual digitalstrom Server-IP Operation & Settings dss-ip digitalstrom Server-IP Manal Operation & Settings Table of Contents digitalstrom Table of Contents 1 Fnction and Intended Use... 3 1.1 Setting p, Calling p and Operating... 3 1.2 Reqirements...

More information

A simple piecewise cubic spline method for approximation of highly nonlinear data

A simple piecewise cubic spline method for approximation of highly nonlinear data Vol., No., 9 () http://d.do.org/./ns.. Natral Scence A sple pecewse cbc splne ethod for approaton of hghly nonlnear Mehd Zaan Cvl Engneerng Departent, Faclty of Techncal and Engneerng, Yaso Unversty, Yaso,

More information

LLVM passes and Intro to Loop Transformation Frameworks

LLVM passes and Intro to Loop Transformation Frameworks LLVM passes and Intro to Loop Transformaton Frameworks Announcements Ths class s recorded and wll be n D2L panapto. No quz Monday after sprng break. Wll be dong md-semester class feedback. Today LLVM passes

More information

K-means and Hierarchical Clustering

K-means and Hierarchical Clustering Note to other teachers and users of these sldes. Andrew would be delghted f you found ths source materal useful n gvng your own lectures. Feel free to use these sldes verbatm, or to modfy them to ft your

More information

Tu P7 15 First-arrival Traveltime Tomography with Modified Total Variation Regularization

Tu P7 15 First-arrival Traveltime Tomography with Modified Total Variation Regularization T P7 15 First-arrival Traveltime Tomography with Modified Total Variation Reglarization W. Jiang* (University of Science and Technology of China) & J. Zhang (University of Science and Technology of China)

More information

Loop Transformations for Parallelism & Locality. Review. Scalar Expansion. Scalar Expansion: Motivation

Loop Transformations for Parallelism & Locality. Review. Scalar Expansion. Scalar Expansion: Motivation Loop Transformatons for Parallelsm & Localty Last week Data dependences and loops Loop transformatons Parallelzaton Loop nterchange Today Scalar expanson for removng false dependences Loop nterchange Loop

More information

AP PHYSICS B 2008 SCORING GUIDELINES

AP PHYSICS B 2008 SCORING GUIDELINES AP PHYSICS B 2008 SCORING GUIDELINES General Notes About 2008 AP Physcs Scorng Gudelnes 1. The solutons contan the most common method of solvng the free-response questons and the allocaton of ponts for

More information

Lecture 3: Computer Arithmetic: Multiplication and Division

Lecture 3: Computer Arithmetic: Multiplication and Division 8-447 Lecture 3: Computer Arthmetc: Multplcaton and Dvson James C. Hoe Dept of ECE, CMU January 26, 29 S 9 L3- Announcements: Handout survey due Lab partner?? Read P&H Ch 3 Read IEEE 754-985 Handouts:

More information