The Effect of UNBabc Mapping Function Modification To GPS Tropospheric Delay

Size: px
Start display at page:

Download "The Effect of UNBabc Mapping Function Modification To GPS Tropospheric Delay"

Transcription

1 Mlysn Journl of Mthemtcl Scences 2(1): 59-71(2008) The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely 1 Hmzh Skdn, 1 Mohd Rzm Au Bkr, 2 Adul Rshd Mohmed Shrff, 3 Mohd Slm Md Noorn, 4 Ad. Nsr Mtor, 5 Azhr Mohmed, 6 Asml Ahmd 1 Dept. of Mthemtcs, Fculty of Scence, Unverst Putr Mlys 2 Fculty of Engneerng, Unverst Putr Mlys 3 Fculty of Scence nd Technology, Unverst Kengsn Mlys, 4 Fculty of Cvl Engneerng, Unverst Teknolog Petrons 5 Deprtment of Survey nd Mppng Mlys, Kul Lumpur 6 Fculty of Informton Technology nd Computer, Unverst Teknkl Mlys Melk. ABSTRACT Tropospherc dely refers to the refrcton of the Glol Postonng System (GPS) sgnl s t psses through the neutrl tmosphere from the stellte to the erth, whch cuses longer dstnce trveled y the sgnl. The zenth tropospherc dely cn e mplfed y mppng functon, especlly for less thn 5 degrees elevton ngle. Mny mppng functons hve een estlshed however the mppng functons gve lrge vlue when the elevton ngles less thn 5 degrees. A modfcton of UNBc mppng functon hs een proposed. The modfed UNBc mppng functon model shows sgnfcnt reducton of mppng functon scle fctor. As the coeffcent of the zenth tropospherc dely, the vlue of mppng functon wll ffect totl tropospherc dely. The modfcton UNBc mppng functon hs mproved the tropospherc dely up to 19.1 percent t two degree elevton ngles. Keywords: Tropospherc, mppng functon, zenth, modfcton INTRODUCTION The ssue of tmospherc dely (error) s extensvely nvestgted to mnmze the postonng error due to tropospherc nd onospherc dely. Tropospherc dely refers to the refrcton of the Glol Postonng System (GPS) sgnl s t psses through the neutrl tmosphere from the stellte to the erth. The effect cuses the dstnce trveled y the sgnl to e longer thn the ctul geometrc dstnce etween stellte nd recever. Tropospherc dely cn e dvded nto hydrosttc (dry) dely nd non hydrosttc (wet) dely s shown n Fgure 1.

2 Hmzh Skdn et l. Atmospherc dely. Tropospherc dely Ionospherc dely Zenth Hydrosttc dely (ZHD) x mppng functon Zenth wet dely (ZWD) x mppng functon Fgure 1: Atmospherc sgnl dely structure At zenth drecton, tropospherc dely contrutes out 2.5m (Ahn, 2005). Hydrosttc (dry) dely contrutes 90% nd wet dely contrutes out 10% of the tropospherc dely (Leck, 1995). Ths hydrosttc component hs smooth, slowly tme-vryng chrcterstc due to ts dependence on vrtons n surfce r pressure (wether cells). So ths prt cn e modeled nd removed wth n ccurcy of few mllmeters or etter usng surfce model (ncludng pressure, temperture nd humdty). It does not therefore crete much of prolem s fr s ts effect on GPS sgnls (El Rny, 2002). Although wet dely s much smller thn the hydrosttc component ut the uncertntes n wet tropospherc dely modelng do plce gret urden on hgh precson GPS pplctons. Referrng to Fgure 2, the tropospherc dely s the shortest n zenth drecton (when the stellte t P) nd ecomes lrger wth the ncrese of zenth ngle (t Q). P Q ZD z TD Fgure 2: Illustrton for olquty fctor (mppng functon) etween zenth nd slnt drecton Projecton of zenth pth delys nto slnt drecton s performed y pplcton of mppng functon or olquty fctor, m(z) tht s defned s (Schuler, 2001): 60 Mlysn Journl of Mthemtcl Scences

3 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely TD m( z) = (1) ZD where : TD totl tropospherc dely (slnt neutrl dely), ZD totl zenth dely, ε - elevton ngle (from ground to stellte). z - zenth ngle (z = 90 -ε ) From Fgure 2 ove, ZD TD = cos z (2) By susttuton nto (2), 1 m( z) = = sec z (3) cos z Unfortuntely, ths secnt model s only n pproxmton ssumng plnr surfce of the erth nd not tkng the curvture of the erth nto ccount (Sstmonen, 1972). The tropospherc delys (TD) t rtrry elevton ngles cn e expressed n terms of the zenth delys (ZD) nd mppng functons m(z) s gven elow: TD = ZD mppng functon TD = ZD mppng functon (4) However, ZD cn e seprted nto two components such s hydrosttc component (zenth hydrosttc dely, ZHD) nd wet component (zenth wet dely, ZWD). TD = ( ZHD + ZWD) m( z) (5) In some cses, the mppng functons for wet nd hydrosttc components re dfferent. Ths representton llows the use of seprte mppng functons for the hydrosttc nd wet dely components (Schuler, 2001): Mlysn Journl of Mthemtcl Scences 61

4 Hmzh Skdn et l. TD = ZHD m ( ε ) + ZWD m ( ε ) (6) where : h w ZHD s zenth hydrosttc dely (m) ZWD s zenth wet dely (m) m (ε) s the hydrosttc mppng functon (no unt) h m (ε) s the wet mppng functon (no unt) w The ojectves of the study re to modfy the model of UNBc mppng functon nd lso to nvestgte ts effectveness y clcultng the tropospherc dely to get the mprovement for hydrosttc dely model nd lso non hydrosttc dely model sed on the orgnl UNBc mppng functon. UNBc MAPPING FUNCTION UNBc s tropospherc mppng functon estlshed y Jmng Guo from the Unversty of New Brunswck (Guo, 2003) usng ry trcng dely vlues, whch hs 3-terms contnued frcton form s shown n equton [7] elow: m c ( ε ) = (7) c where = h or nh ε - elevton ngle (90 z) mh - hydrosttc mppng functon mnh - non hydrosttc mppng functon 62 Mlysn Journl of Mthemtcl Scences

5 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely From seres of nlyses, prmeter s senstve to the orthometrc heght, nd lttude, φ of the stton wheres prmeters nd could e represented y constnts. The lest-squres estmted prmeters for the hydrosttc functon re: h = ( = h c = h cos φ)/1000 nd for the non-hydrosttc component: nh = ( cos φ)/1000 = nh c = nh In ths study, modfcton of UNBc mppng functon hs een crred out y only focusng on the denomntor of equton [7], wherey the thrd sne functon term to e chnged wth cosne functon whle the rest of the mppng functon remn unchnged. The clculton of reducton percentge wll show the mprovement of the modfed mppng functon. Both current nd modfed mppng functons wll e multpled y zenth tropospherc dely vlue to get the hydrosttc nd non hydrosttc components dely. The summton of the hydrosttc nd non hydrosttc components wll gve the totl tropospherc dely n meter for oth the current nd modfed tropospherc dely. As the coeffcent of the zenth tropospherc dely, the mppng functon vlues should e smller n order to get smller tropospherc dely. The scle fctor vlue t 90 degrees elevton ngle should e unty. FORMATION OF MODIFIED UNBc MAPPING FUNCTION The thrd sne functon hs een selected to e chnged for oth components due to ts smller mppng functon vlue compred to the orgnl mppng functons, s gven n equton [7]. The sne, sne nd cosne comnton of mppng functon s now clled modfed UNBc(h) Mlysn Journl of Mthemtcl Scences 63

6 Hmzh Skdn et l. mppng functon for hydrosttc component nd modfed UNBc(nh) mppng functon for non hydrosttc component, s gven n equton [8] elow: m c = cosε + c ( ε) (8) wherey ll the other terms remn unchnged s gven n equton (7). MATHEMATICAL JUSTIFICATION FOR CHANGING FROM SINE FUNCTION TO COSINE FUNCTION The UNBc mppng functon models for oth hydrosttc nd non hydrosttc re gven s follows: It s true tht π cos ε > sn ε for 0<ε < 4 cos ε + c > c when c s constnt, < when s constnt, cosε + c c <, cosε + c c cosε + c > c when s constnt, >, cosε + c c 64 Mlysn Journl of Mthemtcl Scences

7 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely A A < cosε + c c when A s constnt If A = 1 +, c so tht equton (6) < equton (7) s gven elow: c cosε + c < c c s lwys true for 0<ε < 4 π Equton (8) cn gve smller vlue thn equton (7) for 0<ε < 4 π. So, equton (8) hs een used s modfed UNBc mppng functon for oth hydrosttc nd non hydrosttc models. Equton (8) cn gve smller vlue thn equton (7) for 0<ε < 4 π. So, equton (8) hs een used s modfed UNBc mppng functon for oth hydrosttc nd non hydrosttc models. Mlysn Journl of Mthemtcl Scences 65

8 Hmzh Skdn et l. COMPARISON BETWEEN THE UNBc MAPPING FUNCTION AND MODIFIED UNBc MAPPING FUNCTION To compre the effectveness etween the UNBc nd modfed UNBc mppng functon, the scle fctor vlues wll e clculted to show the reducton for oth mppng functons s descred elow. Hydrosttc component Modfed UNBc(h) mppng functon s gven n equton [8] s compred wth UNBc(h) mppng functon s gven n equton [7] s shown n Fgure 3 elow: Mppng functon scle fctor Elevton ngle, E (degree) UNBc(h) Modfed UNBc(h) Fgure 3: Comprson etween the UNBc(h) nd the modfed UNBc(h) comnton From Fgure 3, the modfed UNBc(h) grph shows tht t the elevton ngles of less thn 5 degrees, ts scle fctors re much smller. For elevton ngles more thn 5 degrees, ts scle fctors re qute smlr to the orgnl UNBc(h) model. However, t elevton ngle of 90 degree, ts scle fctor s unty. Non hydrosttc component Modfed UNBc(nh) mppng functon s gven n equton [8] s compred wth UNBc(nh) mppng functon s gven n equton [7] s shown n Fgure 4 elow: 66 Mlysn Journl of Mthemtcl Scences

9 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely Mppng functon scle fctor Elevton ngle, E (degree) UNBc(nh) Modfed UNBc(nh) Fgure 4: Comprson etween the UNBc(nh) nd modfed UNBc(nh) From Fgure 4, the modfed UNBc(nh) shows tht t the elevton ngles of less thn 5 degrees, ts scle fctors re much smller. For elevton ngle more thn 4 degree, ts scle fctors re qute the sme wth UNBc(nh) model. However, t the elevton ngle of 90 degrees, ts scle fctor s unty. IMPROVEMENT OF TROPOSPHERIC DELAY (TD) The mprovement of tropospherc dely cn e shown y comprng the tropospherc dely vlue. The clculton for tropospherc dely wll use equton (1) s gven prevously. The vlues for ZHD = 2.31m nd ZWD = 0.25m cn e clculted from Sstmonen Tropospherc dely model (Sstmonen, 1972). Tropospherc dely usng UNBc mppng functon The tropospherc dely clculton for oth hydrosttc nd non hydrosttc components cn e shown n Tle 1 elow: Mlysn Journl of Mthemtcl Scences 67

10 Hmzh Skdn et l. TABLE 1 : Tropospherc dely (TD) usng UNBc mppng functon Elev. ngle, E ( o ) A = UNBc(h) x ZHD B = UNBc(h) x ZWD TD=A+B (meter) Tle 1 shows tht the elevton ngle strts from 2 degree untl 90 degree. At 90 degree, the tropospherc dely gve the stndrd vlues (2.31m for hydrosttc nd 0.25m for non hydrosttc) due to the vlue of mppng functon for oth components t 90 degree s unty, 1. Tropospherc dely usng modfed UNBc mppng functon The results of clculton of tropospherc dely for UNBc(h) for oth components cn e shown n Tle 2 elow: TABLE 2 : Tropospherc dely (TD) usng modfed UNBc(nh) mppng functon Elev. ngle, E ( o ) C = modfed UNBc(nh) x ZHD D = modfed UNBc(nh) x ZWD TD = C + D (meter) Tle 2 shows tht the elevton ngle strts from 2 degree untl 90 degree. At 90 degree, the tropospherc dely gve the stndrd vlues (2.31m 68 Mlysn Journl of Mthemtcl Scences

11 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely for hydrosttc nd 0.25m for non hydrosttc) due to the vlue of mppng functon for oth components t 90 degree s unty, 1. Improvement percentge for Tropospherc Dely (TD) The mprovement of tropospherc dely cn e shown y comprng etween modfed UNBc mppng functon nd UNBc mppng functon. As coeffcent to the zenth dely, the mprovement n mppng functon wll drectly ffect the totl tropospherc dely. Current TD s clculted usng UNBc mppng functon nd New TD s clculted usng modfed UNBc mppng functon. The mprovement of the tropospherc dely cn e shown n Tle 3 nd Fgure 5 elow: Tle 3 : Percentge mprovement for the tropospherc dely (TD) Elevton ngle, E Current TD (meter) New TD (meter) Improvement (%) Tropospherc dely,td (m) Elevton ngle, E (degree) Current TD (meter) New TD (meter) Fgure 5 : Comprson for the current nd the new tropospherc dely (TD) Mlysn Journl of Mthemtcl Scences 69

12 Hmzh Skdn et l. Tle 3 shows tht the elevton ngle strts from 2 degree untl 90 degree. For the elevton ngles of more thn 5 degree, the dfferent tropospherc dely etween oth models s too smll nd not sgnfcnt. Fgure 5 shows tht the dfference etween the current tropospherc dely nd new tropospherc dely cn e seen when the elevton ngle s less thn 5 degree. CONCLUSION For the elevton ngles less thn 5 degrees, the reducton percentge of the tropospherc dely s very ovous, especlly for two degrees elevton ngles. On the other hnd, the reducton shows the sgnfcnt mprovement of the mppng functon, ether for hydrosttc or non hydrosttc mppng functons. As the mplfer effect (coeffcent) to the zenth tropospherc dely, the mprovement cn drectly reduce the totl tropospherc dely of the GPS sgnl. Modfed UNBc mppng functon contrutes 19.1 percent to the tropospherc dely mprovement percentge t two degree elevton ngle. The results show tht the modfed UNBc mppng functon s sutle choce to e n lterntve mppng functon, for replcng the orgnl UNBc mppng functon for oth components, hydrosttc nd lso non hydrosttc. REFERENCES Ahn, Y.W Anlyss of NGS CORS Network for GPS RTK Performnce Usng Externl NOAA Tropospherc Correctons Integrted wth Multple Reference Stton Approch, M.Sc. Theses, Unversty of Clgry, Cnd. El-Rny, A. 2002, Introducton To GPS: Glol Postonng System. Artech House mole communcton seres, Boston, London. Guo, J nd Lngley, R.B A New Tropospherc Propgton Dely Mppng Functon For Elevton Angles Down To 2. Proceedng of ION GPS/GNSS 2003, 16 th Interntonl Techncl Meetng of the Stellte Dvson of The Insttute of Nvgton, Portlnd, OR, 9 12 Sept., pp Mlysn Journl of Mthemtcl Scences

13 The Effect of UNBc Mppng Functon Modfcton To GPS Tropospherc Dely Leck, Alfred GPS Stellte Surveyng, 2 nd Edton, John Wley & sons, 1994, USA. Sstmonen, J Atmospherc correcton for troposphere nd strtosphere n rdo rngng f stelltes, Geophyscl monogrph, 15, Amercn Geophyscl Unon, Wshngton, D. C., USA, pp , Schuler, T On Ground-Bsed GPS Tropospherc Dely Estmton, PhD Thess, Unversty of Munch Mlysn Journl of Mthemtcl Scences 71

Regionalization Method for Nonlinear Differential Equation Systems In a Cartesian Plan

Regionalization Method for Nonlinear Differential Equation Systems In a Cartesian Plan Journl of Mthemtcs nd Sttstcs 4: 464-468 6 ISSN 549-3644 6 Scence Pulctons Regonlzton Method for Nonlner Dfferentl Euton Systems In Crtesn Pln Bel Lekhmss Deprtment of Mthemtcs Fculty of Scences Unversty

More information

10.5 Graphing Quadratic Functions

10.5 Graphing Quadratic Functions 0.5 Grphing Qudrtic Functions Now tht we cn solve qudrtic equtions, we wnt to lern how to grph the function ssocited with the qudrtic eqution. We cll this the qudrtic function. Grphs of Qudrtic Functions

More information

Non-von-Kries 3-Parameter Color Prediction

Non-von-Kries 3-Parameter Color Prediction Non-von-Kres -Prmeter olor Predcton Brn Funt nd Ho Jng chool of omputng cence mon Frser Unversty Vncouver B.. nd V5A 6 ABTRAT hromtc dptton trnsforms generlly rely on vrnt of the von Kres trnsformton method

More information

CHAPTER 3 BACKGROUND AND RELATED WORK

CHAPTER 3 BACKGROUND AND RELATED WORK CHAPTER 3 BACKGROUND AND RELATED WORK Ths chpter wll provde the ckground knowledge requred for the rest of ths thess. It wll strt wth the defnton of the nput sgnl functon nd termnology relted to the trngulton

More information

COMPUTATIONAL INTELLIGENCE

COMPUTATIONAL INTELLIGENCE COMPUTATIONAL INTELLIGENCE LABORATORY CLASSES Immentton smplstc verson of the network for some nference resons Adrn Horzyk IMPLEMENTATION OF THE SIMPLISTIC OR AANG Imment the smplstc verson of n structure

More information

Fuzzy soft -ring. E Blok Esenler, Istanbul, Turkey 2 Department of Mathematics, Marmara University, Istanbul, Turkey

Fuzzy soft -ring. E Blok Esenler, Istanbul, Turkey 2 Department of Mathematics, Marmara University, Istanbul, Turkey IJST (202) A4: 469-476 Irnn Journl of Scence & Technology http://wwwshrzucr/en Fuzzy soft -rng S Onr, B A Ersoy * nd U Tekr 2 Deprtment of Mthemtcs, Yıldız Techncl Unversty Dvutpş Kmpüsü E Blok 202 34220

More information

1.5 Extrema and the Mean Value Theorem

1.5 Extrema and the Mean Value Theorem .5 Extrem nd the Men Vlue Theorem.5. Mximum nd Minimum Vlues Definition.5. (Glol Mximum). Let f : D! R e function with domin D. Then f hs n glol mximum vlue t point c, iff(c) f(x) for ll x D. The vlue

More information

called the vertex. The line through the focus perpendicular to the directrix is called the axis of the parabola.

called the vertex. The line through the focus perpendicular to the directrix is called the axis of the parabola. Review of conic sections Conic sections re grphs of the form REVIEW OF CONIC SECTIONS prols ellipses hperols P(, ) F(, p) O p =_p REVIEW OF CONIC SECTIONS In this section we give geometric definitions

More information

A Multi-Sensor Image Registration Approach Based On Edge-Correlation

A Multi-Sensor Image Registration Approach Based On Edge-Correlation 010 nd Interntonl Conference on Sgnl Processng Systems (ICSPS Mult-Sensor Imge Regstrton pproch sed On Edge-Correlton u L-p, Yng Yng-yun, Zhng Wen-hu, Jng Xu-hu Electronc Informton Engneerng School Communcton

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information

Lily Yen and Mogens Hansen

Lily Yen and Mogens Hansen SKOLID / SKOLID No. 8 Lily Yen nd Mogens Hnsen Skolid hs joined Mthemticl Myhem which is eing reformtted s stnd-lone mthemtics journl for high school students. Solutions to prolems tht ppered in the lst

More information

Chapter Spline Method of Interpolation More Examples Computer Engineering

Chapter Spline Method of Interpolation More Examples Computer Engineering Chpter. Splne Metho of Interpolton More Emples Computer Engneerng Emple A root rm wth rp lser snner s ong quk qulty hek on holes rlle n " " retngulr plte. The enters of the holes n the plte esre the pth

More information

SUPPORT VECTOR CLUSTERING FOR WEB USAGE MINING

SUPPORT VECTOR CLUSTERING FOR WEB USAGE MINING 1 SUPPOT VECTO CUSTEING FO WEB USAGE MINING WEI SHUNG CHUNG School of Computer Scence The Unversty of Oklhom Normn Oklhom E GUENWAD School of Computer Scence The Unversty of Oklhom Normn Oklhom THEODOE

More information

SEGMENTATION OF TREE REGIONS USING DATA OF A FULL-WAVEFORM LASER

SEGMENTATION OF TREE REGIONS USING DATA OF A FULL-WAVEFORM LASER In: Stll U et l (Eds) PIA07. Interntonl Archves of Photogrmmetry, Remote Sensng nd Sptl Informton Scences, 36 (3/W49A) SEGMENTATION OF TREE REGIONS USING DATA OF A FULL-WAVEFORM LASER H. Gross, B. Jutz,

More information

1.4 Circuit Theorems

1.4 Circuit Theorems . Crcut Theorems. v,? (C)V, 5 6 (D) V, 6 5. A smple equvlent crcut of the termnl 6 v, network shown n fg. P.. s Fg. P... (A)V, (B)V, v (C)V,5 (D)V,5 Fg. P....,? 5 V, v (A) (B) Fg. P... (A)A, 0 (B) 0 A,

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus MATH 6 The Fundmentl Theorem of Clculus The Fundmentl Theorem of Clculus (FTC) gives method of finding the signed re etween the grph of f nd the x-xis on the intervl [, ]. The theorem is: FTC: If f is

More information

2 Computing all Intersections of a Set of Segments Line Segment Intersection

2 Computing all Intersections of a Set of Segments Line Segment Intersection 15-451/651: Design & Anlysis of Algorithms Novemer 14, 2016 Lecture #21 Sweep-Line nd Segment Intersection lst chnged: Novemer 8, 2017 1 Preliminries The sweep-line prdigm is very powerful lgorithmic design

More information

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example:

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example: cisc1110 fll 2010 lecture VI.2 cll y vlue function prmeters more on functions more on cll y vlue nd cll y reference pssing strings to functions returning strings from functions vrile scope glol vriles

More information

Hyperbolas. Definition of Hyperbola

Hyperbolas. Definition of Hyperbola CHAT Pre-Clculus Hyperols The third type of conic is clled hyperol. For n ellipse, the sum of the distnces from the foci nd point on the ellipse is fixed numer. For hyperol, the difference of the distnces

More information

Slicer Method Comparison Using Open-source 3D Printer

Slicer Method Comparison Using Open-source 3D Printer IOP Conference Series: Erth nd Environmentl Science PAPER OPEN ACCESS Slicer Method Comprison Using Open-source 3D Printer To cite this rticle: M K A Mohd Ariffin et l 2018 IOP Conf. Ser.: Erth Environ.

More information

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig CS311H: Discrete Mthemtics Grph Theory IV Instructor: Işıl Dillig Instructor: Işıl Dillig, CS311H: Discrete Mthemtics Grph Theory IV 1/25 A Non-plnr Grph Regions of Plnr Grph The plnr representtion of

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

Algorithm Design (5) Text Search

Algorithm Design (5) Text Search Algorithm Design (5) Text Serch Tkshi Chikym School of Engineering The University of Tokyo Text Serch Find sustring tht mtches the given key string in text dt of lrge mount Key string: chr x[m] Text Dt:

More information

ZZ - Advanced Math Review 2017

ZZ - Advanced Math Review 2017 ZZ - Advnced Mth Review Mtrix Multipliction Given! nd! find the sum of the elements of the product BA First, rewrite the mtrices in the correct order to multiply The product is BA hs order x since B is

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

Graphing Conic Sections

Graphing Conic Sections Grphing Conic Sections Definition of Circle Set of ll points in plne tht re n equl distnce, clled the rdius, from fixed point in tht plne, clled the center. Grphing Circle (x h) 2 + (y k) 2 = r 2 where

More information

Presentation Martin Randers

Presentation Martin Randers Presenttion Mrtin Rnders Outline Introduction Algorithms Implementtion nd experiments Memory consumption Summry Introduction Introduction Evolution of species cn e modelled in trees Trees consist of nodes

More information

MTH 146 Conics Supplement

MTH 146 Conics Supplement 105- Review of Conics MTH 146 Conics Supplement In this section we review conics If ou ne more detils thn re present in the notes, r through section 105 of the ook Definition: A prol is the set of points

More information

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming Lecture 10 Evolutionry Computtion: Evolution strtegies nd genetic progrmming Evolution strtegies Genetic progrmming Summry Negnevitsky, Person Eduction, 2011 1 Evolution Strtegies Another pproch to simulting

More information

World Journal of Engineering Research and Technology WJERT

World Journal of Engineering Research and Technology WJERT wjert 207 Vol. 3 Issue 5 284-293. Orgnl Artcle IN 2454-695X World Journl of ngneerng Reserch nd Technology hndrmouleeswrn et l. World Journl of ngneerng Reserch nd Technology WJRT www.wjert.org JIF Impct

More information

Algebra II Notes Unit Ten: Conic Sections

Algebra II Notes Unit Ten: Conic Sections Sllus Ojective: 0. The student will sketch the grph of conic section with centers either t or not t the origin. (PARABOLAS) Review: The Midpoint Formul The midpoint M of the line segment connecting the

More information

Section 9.2 Hyperbolas

Section 9.2 Hyperbolas Section 9. Hperols 597 Section 9. Hperols In the lst section, we lerned tht plnets hve pproimtel ellipticl orits round the sun. When n oject like comet is moving quickl, it is le to escpe the grvittionl

More information

COMPUTATIONAL INTELLIGENCE

COMPUTATIONAL INTELLIGENCE COMPUTATIONAL INTELLIGENCE LABORATORY CLASSES Immentton smplstc verson of the or AANG network for some nference resons Adrn Horzyk IMPLEMENTATION OF THE SIMPLISTIC OR AANG Imment the smplstc verson of

More information

COMP 423 lecture 11 Jan. 28, 2008

COMP 423 lecture 11 Jan. 28, 2008 COMP 423 lecture 11 Jn. 28, 2008 Up to now, we hve looked t how some symols in n lphet occur more frequently thn others nd how we cn sve its y using code such tht the codewords for more frequently occuring

More information

Fuzzy Critical Path with Various Measures

Fuzzy Critical Path with Various Measures Interntonl Journl of themtcs Trens n Technology IJTT Volume 5 umer 5- Ferury 08 Fuzzy Crtcl Pth wth Vrous esures V.nusuy n P.lsownr. ssocte Professor PG n eserch Deprtment of themtcs Seethlkshm mswm college

More information

Order these angles from smallest to largest by wri ng 1 to 4 under each one. Put a check next to the right angle.

Order these angles from smallest to largest by wri ng 1 to 4 under each one. Put a check next to the right angle. Lines nd ngles Connect ech set of lines to the correct nme: prllel perpendiculr Order these ngles from smllest to lrgest y wri ng to 4 under ech one. Put check next to the right ngle. Complete this tle

More information

Mobile IP route optimization method for a carrier-scale IP network

Mobile IP route optimization method for a carrier-scale IP network Moile IP route optimiztion method for crrier-scle IP network Tkeshi Ihr, Hiroyuki Ohnishi, nd Ysushi Tkgi NTT Network Service Systems Lortories 3-9-11 Midori-cho, Musshino-shi, Tokyo 180-8585, Jpn Phone:

More information

Naming 3D objects. 1 Name the 3D objects labelled in these models. Use the word bank to help you.

Naming 3D objects. 1 Name the 3D objects labelled in these models. Use the word bank to help you. Nming 3D ojects 1 Nme the 3D ojects lelled in these models. Use the word nk to help you. Word nk cue prism sphere cone cylinder pyrmid D A C F A B C D cone cylinder cue cylinder E B E prism F cue G G pyrmid

More information

Mesh and Node Equations: Circuits Containing Dependent Sources

Mesh and Node Equations: Circuits Containing Dependent Sources Mesh nd Node Equtons: Crcuts Contnng Dependent Sources Introducton The crcuts n ths set of problems re smll crcuts tht contn sngle dependent source. These crcuts cn be nlyzed usng mesh equton or usng node

More information

4/3, 4/2 and 3/2 directional valve. with mechanical,manual operation. Type WMM16, 25 and 32. Contents. Features 01/08 2.5

4/3, 4/2 and 3/2 directional valve. with mechanical,manual operation. Type WMM16, 25 and 32. Contents. Features 01/08 2.5 01/0 /, / nd / directionl vlve with mechnicl, mnul opertion.5 Type WMM1, 5 nd Size 1, 5 nd Up to 15r Up to 10L/min Contents Function nd configurtions 0 Specifictions 0 Symols 0 Technicl dt 0 Chrcteristic

More information

Geometric transformations

Geometric transformations Geometric trnsformtions Computer Grphics Some slides re bsed on Shy Shlom slides from TAU mn n n m m T A,,,,,, 2 1 2 22 12 1 21 11 Rows become columns nd columns become rows nm n n m m A,,,,,, 1 1 2 22

More information

CURVE FITTING AND DATA REGRESSION

CURVE FITTING AND DATA REGRESSION Numercl Methods Process Sstems Engneerng CURVE FIING AND DAA REGRESSION Numercl methods n chemcl engneerng Dr. Edwn Zondervn Numercl Methods Process Sstems Engneerng Dngerous curves!!! hs s not ectl wht

More information

8.2 Areas in the Plane

8.2 Areas in the Plane 39 Chpter 8 Applictions of Definite Integrls 8. Ares in the Plne Wht ou will lern out... Are Between Curves Are Enclosed Intersecting Curves Boundries with Chnging Functions Integrting with Respect to

More information

Tilt-Sensing with Kionix MEMS Accelerometers

Tilt-Sensing with Kionix MEMS Accelerometers Tilt-Sensing with Kionix MEMS Accelerometers Introduction Tilt/Inclintion sensing is common ppliction for low-g ccelerometers. This ppliction note describes how to use Kionix MEMS low-g ccelerometers to

More information

Agilent Mass Hunter Software

Agilent Mass Hunter Software Agilent Mss Hunter Softwre Quick Strt Guide Use this guide to get strted with the Mss Hunter softwre. Wht is Mss Hunter Softwre? Mss Hunter is n integrl prt of Agilent TOF softwre (version A.02.00). Mss

More information

Date: 9.1. Conics: Parabolas

Date: 9.1. Conics: Parabolas Dte: 9. Conics: Prols Preclculus H. Notes: Unit 9 Conics Conic Sections: curves tht re formed y the intersection of plne nd doulenpped cone Syllus Ojectives:. The student will grph reltions or functions,

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

Affinity-Based Similarity Measure for Web Document Clustering

Affinity-Based Similarity Measure for Web Document Clustering Affnty-Bsed Smlrty Mesure for Web Document Clusterng Me-Lng Shyu Deprtment of Electrcl nd Computer Engneerng Unversty of Mm Corl Gbles FL 33124 USA shyu@mm.edu Shu-Chng Chen Mn Chen Dstrbuted Multmed Informton

More information

Subdivision Surfaces. Basic Idea

Subdivision Surfaces. Basic Idea Subdvson Surfces COS598b Geometrc Modelng Bsc Ide Subdvson defnes smooth curve or surfce s the lmt of sequence of successve refnements. D Emles D Rules Effcency Comct Suort Locl Defnton Affne Invrnce Smlcty

More information

Calculus Differentiation

Calculus Differentiation //007 Clulus Differentition Jeffrey Seguritn person in rowot miles from the nerest point on strit shoreline wishes to reh house 6 miles frther down the shore. The person n row t rte of mi/hr nd wlk t rte

More information

Angle properties of lines and polygons

Angle properties of lines and polygons chievement Stndrd 91031 pply geometric resoning in solving problems Copy correctly Up to 3% of workbook Copying or scnning from ES workbooks is subject to the NZ Copyright ct which limits copying to 3%

More information

A New Global Router for Modern Designs *

A New Global Router for Modern Designs * A New Glol Router for Modern Desgns * Jhh-Rong Go Synopsys Inc. Tpe, Twn 11012 e-ml : jerrc.go@synopsys.com Pe-C Wu Synopsys Inc. Tpe, Twn 11012 e-ml : pegge.wu@synopsys.com Tng-Ch Wng Deprtment of Computer

More information

2-3 search trees red-black BSTs B-trees

2-3 search trees red-black BSTs B-trees 2-3 serch trees red-lck BTs B-trees 3 2-3 tree llow 1 or 2 keys per node. 2-node: one key, two children. 3-node: two keys, three children. ymmetric order. Inorder trversl yields keys in scending order.

More information

APPLICATIONS OF INTEGRATION

APPLICATIONS OF INTEGRATION Chpter 3 DACS 1 Lok 004/05 CHAPTER 5 APPLICATIONS OF INTEGRATION 5.1 Geometricl Interprettion-Definite Integrl (pge 36) 5. Are of Region (pge 369) 5..1 Are of Region Under Grph (pge 369) Figure 5.7 shows

More information

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers Wht do ll those bits men now? bits (...) Number Systems nd Arithmetic or Computers go to elementry school instruction R-formt I-formt... integer dt number text chrs... floting point signed unsigned single

More information

Ma/CS 6b Class 1: Graph Recap

Ma/CS 6b Class 1: Graph Recap M/CS 6 Clss 1: Grph Recp By Adm Sheffer Course Detils Adm Sheffer. Office hour: Tuesdys 4pm. dmsh@cltech.edu TA: Victor Kstkin. Office hour: Tuesdys 7pm. 1:00 Mondy, Wednesdy, nd Fridy. http://www.mth.cltech.edu/~2014-15/2term/m006/

More information

Introduction to Integration

Introduction to Integration Introduction to Integrtion Definite integrls of piecewise constnt functions A constnt function is function of the form Integrtion is two things t the sme time: A form of summtion. The opposite of differentition.

More information

EXPONENTIAL & POWER GRAPHS

EXPONENTIAL & POWER GRAPHS Eponentil & Power Grphs EXPONENTIAL & POWER GRAPHS www.mthletics.com.u Eponentil EXPONENTIAL & Power & Grphs POWER GRAPHS These re grphs which result from equtions tht re not liner or qudrtic. The eponentil

More information

Grade 7/8 Math Circles Geometric Arithmetic October 31, 2012

Grade 7/8 Math Circles Geometric Arithmetic October 31, 2012 Fculty of Mthemtics Wterloo, Ontrio N2L 3G1 Grde 7/8 Mth Circles Geometric Arithmetic Octoer 31, 2012 Centre for Eduction in Mthemtics nd Computing Ancient Greece hs given irth to some of the most importnt

More information

Today. CS 188: Artificial Intelligence Fall Recap: Search. Example: Pancake Problem. Example: Pancake Problem. General Tree Search.

Today. CS 188: Artificial Intelligence Fall Recap: Search. Example: Pancake Problem. Example: Pancake Problem. General Tree Search. CS 88: Artificil Intelligence Fll 00 Lecture : A* Serch 9//00 A* Serch rph Serch Tody Heuristic Design Dn Klein UC Berkeley Multiple slides from Sturt Russell or Andrew Moore Recp: Serch Exmple: Pncke

More information

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis CS143 Hndout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexicl Anlysis In this first written ssignment, you'll get the chnce to ply round with the vrious constructions tht come up when doing lexicl

More information

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs.

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs. Lecture 5 Wlks, Trils, Pths nd Connectedness Reding: Some of the mteril in this lecture comes from Section 1.2 of Dieter Jungnickel (2008), Grphs, Networks nd Algorithms, 3rd edition, which is ville online

More information

Slides for Data Mining by I. H. Witten and E. Frank

Slides for Data Mining by I. H. Witten and E. Frank Slides for Dt Mining y I. H. Witten nd E. Frnk Simplicity first Simple lgorithms often work very well! There re mny kinds of simple structure, eg: One ttriute does ll the work All ttriutes contriute eqully

More information

9.1 apply the distance and midpoint formulas

9.1 apply the distance and midpoint formulas 9.1 pply the distnce nd midpoint formuls DISTANCE FORMULA MIDPOINT FORMULA To find the midpoint between two points x, y nd x y 1 1,, we Exmple 1: Find the distnce between the two points. Then, find the

More information

Questions About Numbers. Number Systems and Arithmetic. Introduction to Binary Numbers. Negative Numbers?

Questions About Numbers. Number Systems and Arithmetic. Introduction to Binary Numbers. Negative Numbers? Questions About Numbers Number Systems nd Arithmetic or Computers go to elementry school How do you represent negtive numbers? frctions? relly lrge numbers? relly smll numbers? How do you do rithmetic?

More information

Recap: rigid motions. [L7] Robotics (ME671): Forward Kinematics. Recap: homogeneous transforms. Robot Kinematics Suril Shah IIT Jodhpur

Recap: rigid motions. [L7] Robotics (ME671): Forward Kinematics. Recap: homogeneous transforms. Robot Kinematics Suril Shah IIT Jodhpur --6 Rep: rgd motons [L7] Robots (ME67): Forwrd Knemts Rgd moton s ombnton of rotton nd trnslton It n be represented usng homogeneous trnsform R d H Surl Shh IIT Jodhpur Inverse trnsforms: T T R R d H Rep:

More information

Distributed Systems Principles and Paradigms

Distributed Systems Principles and Paradigms Distriuted Systems Principles nd Prdigms Chpter 11 (version April 7, 2008) Mrten vn Steen Vrije Universiteit Amsterdm, Fculty of Science Dept. Mthemtics nd Computer Science Room R4.20. Tel: (020) 598 7784

More information

Radiation & Matter 3: Refraction

Radiation & Matter 3: Refraction Rdition & Mtter 3: Refrction Refrction AIM The effects of refrction (the chnge of direction tht tkes plce when light psses fro ir into glss) y hve been et during n erlier study of Physics. The i of this

More information

SERIES. Patterns and Algebra OUT. Name

SERIES. Patterns and Algebra OUT. Name D Techer Student Book IN OUT 8 Nme Series D Contents Topic Section Ptterns Answers nd (pp. functions ) identifying ptterns nd nd functions_ creting ptterns_ skip equtions counting nd equivlence completing

More information

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle Textiles nd Light ndustril Science nd Technology (TLST) Volume 3, 2014 DO: 10.14355/tlist.2014.0301.01 http://www.tlist-journl.org Anlysis of Computed Diffrction Pttern Digrm for Mesuring Yrn Twist Angle

More information

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts Clss-XI Mthemtics Conic Sections Chpter-11 Chpter Notes Key Concepts 1. Let be fixed verticl line nd m be nother line intersecting it t fixed point V nd inclined to it t nd ngle On rotting the line m round

More information

Intermediate Information Structures

Intermediate Information Structures CPSC 335 Intermedite Informtion Structures LECTURE 13 Suffix Trees Jon Rokne Computer Science University of Clgry Cnd Modified from CMSC 423 - Todd Trengen UMD upd Preprocessing Strings We will look t

More information

What are suffix trees?

What are suffix trees? Suffix Trees 1 Wht re suffix trees? Allow lgorithm designers to store very lrge mount of informtion out strings while still keeping within liner spce Allow users to serch for new strings in the originl

More information

Simplifying Algebra. Simplifying Algebra. Curriculum Ready.

Simplifying Algebra. Simplifying Algebra. Curriculum Ready. Simplifying Alger Curriculum Redy www.mthletics.com This ooklet is ll out turning complex prolems into something simple. You will e le to do something like this! ( 9- # + 4 ' ) ' ( 9- + 7-) ' ' Give this

More information

12-B FRACTIONS AND DECIMALS

12-B FRACTIONS AND DECIMALS -B Frctions nd Decimls. () If ll four integers were negtive, their product would be positive, nd so could not equl one of them. If ll four integers were positive, their product would be much greter thn

More information

Efficient Rerouting Algorithms for Congestion Mitigation

Efficient Rerouting Algorithms for Congestion Mitigation 2009 IEEE Computer Society Annul Symposium on VLSI Efficient Rerouting Algorithms for Congestion Mitigtion M. A. R. Chudhry*, Z. Asd, A. Sprintson, nd J. Hu Deprtment of Electricl nd Computer Engineering

More information

Math 4 Review for Quarter 2 Cumulative Test

Math 4 Review for Quarter 2 Cumulative Test Mth 4 Review for Qurter 2 Cumultive Test Nme: I. Right Tringle Trigonometry (3.1-3.3) Key Fcts Pythgoren Theorem - In right tringle, 2 + b 2 = c 2 where c is the hypotenuse s shown below. c b Trigonometric

More information

Compression Outline :Algorithms in the Real World. Lempel-Ziv Algorithms. LZ77: Sliding Window Lempel-Ziv

Compression Outline :Algorithms in the Real World. Lempel-Ziv Algorithms. LZ77: Sliding Window Lempel-Ziv Compression Outline 15-853:Algorithms in the Rel World Dt Compression III Introduction: Lossy vs. Lossless, Benchmrks, Informtion Theory: Entropy, etc. Proility Coding: Huffmn + Arithmetic Coding Applictions

More information

The Basic Properties of the Integral

The Basic Properties of the Integral The Bsic Properties of the Integrl When we compute the derivtive of complicted function, like + sin, we usull use differentition rules, like d [f()+g()] d f()+ d g(), to reduce the computtion d d d to

More information

Lecture 8: Graph-theoretic problems (again)

Lecture 8: Graph-theoretic problems (again) COMP36111: Advned Algorithms I Leture 8: Grph-theoreti prolems (gin) In Prtt-Hrtmnn Room KB2.38: emil: iprtt@s.mn..uk 2017 18 Reding for this leture: Sipser: Chpter 7. A grph is pir G = (V, E), where V

More information

1.1. Interval Notation and Set Notation Essential Question When is it convenient to use set-builder notation to represent a set of numbers?

1.1. Interval Notation and Set Notation Essential Question When is it convenient to use set-builder notation to represent a set of numbers? 1.1 TEXAS ESSENTIAL KNOWLEDGE AND SKILLS Prepring for 2A.6.K, 2A.7.I Intervl Nottion nd Set Nottion Essentil Question When is it convenient to use set-uilder nottion to represent set of numers? A collection

More information

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) Numbers nd Opertions, Algebr, nd Functions 45. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) In sequence of terms involving eponentil growth, which the testing service lso clls geometric

More information

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997.

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997. Forced convex n-gons in the plne F. R. K. Chung y University ofpennsylvni Phildelphi, Pennsylvni 19104 R. L. Grhm AT&T Ls - Reserch Murry Hill, New Jersey 07974 Mrch 2,1997 Astrct In seminl pper from 1935,

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

A dual of the rectangle-segmentation problem for binary matrices

A dual of the rectangle-segmentation problem for binary matrices A dul of the rectngle-segmenttion prolem for inry mtrices Thoms Klinowski Astrct We consider the prolem to decompose inry mtrix into smll numer of inry mtrices whose -entries form rectngle. We show tht

More information

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Chapter 2 Sensitivity Analysis: Differential Calculus of Models Chpter 2 Sensitivity Anlysis: Differentil Clculus of Models Abstrct Models in remote sensing nd in science nd engineering, in generl re, essentilly, functions of discrete model input prmeters, nd/or functionls

More information

Uninformed Search. Hal Daumé III. Computer Science University of Maryland CS 421: Introduction to Artificial Intelligence 31 Jan 2012

Uninformed Search. Hal Daumé III. Computer Science University of Maryland CS 421: Introduction to Artificial Intelligence 31 Jan 2012 1 Hl Dumé III (me@hl3.nme) Uninformed Serch Hl Dumé III Comuter Science University of Mrylnd me@hl3.nme CS 421: Introduction to Artificil Intelligence 31 Jn 2012 Mny slides courtesy of Dn Klein, Sturt

More information

Section 5.3 : Finding Area Between Curves

Section 5.3 : Finding Area Between Curves MATH 9 Section 5. : Finding Are Between Curves Importnt: In this section we will lern just how to set up the integrls to find re etween curves. The finl nswer for ech emple in this hndout is given for

More information

Error Numbers of the Standard Function Block

Error Numbers of the Standard Function Block A.2.2 Numers of the Stndrd Funtion Blok evlution The result of the logi opertion RLO is set if n error ours while the stndrd funtion lok is eing proessed. This llows you to rnh to your own error evlution

More information

Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo

Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo Vsul Hull lgnment nd Refnement cross Tme: 3D Reconstructon lgorthm Combnng Shpe-From-Slhouette wth Stereo Germn K.M. Cheung Smon Bker Tkeo Knde Robotcs Insttute, Crnege Mellon Unversty, Pttsburgh P 523

More information

Unit 5 Vocabulary. A function is a special relationship where each input has a single output.

Unit 5 Vocabulary. A function is a special relationship where each input has a single output. MODULE 3 Terms Definition Picture/Exmple/Nottion 1 Function Nottion Function nottion is n efficient nd effective wy to write functions of ll types. This nottion llows you to identify the input vlue with

More information

A Data Aggregation Algorithm Based on Splay Tree for Wireless Sensor Networks

A Data Aggregation Algorithm Based on Splay Tree for Wireless Sensor Networks 49 JOURNAL OF COMPUERS, VOL. 5, NO. 4, APRIL 010 A Dt Aggregton Algorthm Bsed on Sply ree for Wreless Sensor Networks ZHANG Shu-Ku * 1,, CUI Zh-Mng 1,,GONG Sheng-Rong 1, LIU Qun 1,FAN Jn-X 1 1 School of

More information

The Distributed Data Access Schemes in Lambda Grid Networks

The Distributed Data Access Schemes in Lambda Grid Networks The Distributed Dt Access Schemes in Lmbd Grid Networks Ryot Usui, Hiroyuki Miygi, Yutk Arkw, Storu Okmoto, nd Noki Ymnk Grdute School of Science for Open nd Environmentl Systems, Keio University, Jpn

More information

Determination of Tooth Clearances at Trochoidal Pump

Determination of Tooth Clearances at Trochoidal Pump Loc T. Ivnovć Assstnt Professor Unversty of Krgujevc Fculty of Mechncl Engneerng Mln. Erć Assstnt Professor Unversty of Krgujevc Fculty of Mechncl Engneerng Blž Ž. Stojnovć Assstnt Unversty of Krgujevc

More information

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays COMPSCI 5 SS Principles of Computer Science Arrys & Multidimensionl Arrys Agend & Reding Agend Arrys Creting & Using Primitive & Reference Types Assignments & Equlity Pss y Vlue & Pss y Reference Copying

More information

Can Pythagoras Swim?

Can Pythagoras Swim? Overview Ativity ID: 8939 Mth Conepts Mterils Students will investigte reltionships etween sides of right tringles to understnd the Pythgoren theorem nd then use it to solve prolems. Students will simplify

More information

Stained Glass Design. Teaching Goals:

Stained Glass Design. Teaching Goals: Stined Glss Design Time required 45-90 minutes Teching Gols: 1. Students pply grphic methods to design vrious shpes on the plne.. Students pply geometric trnsformtions of grphs of functions in order to

More information

LETKF compared to 4DVAR for assimilation of surface pressure observations in IFS

LETKF compared to 4DVAR for assimilation of surface pressure observations in IFS LETKF compred to 4DVAR for ssimiltion of surfce pressure oservtions in IFS Pu Escrià, Mssimo Bonvit, Mts Hmrud, Lrs Isksen nd Pul Poli Interntionl Conference on Ensemle Methods in Geophysicl Sciences Toulouse,

More information

1 Quad-Edge Construction Operators

1 Quad-Edge Construction Operators CS48: Computer Grphics Hndout # Geometric Modeling Originl Hndout #5 Stnford University Tuesdy, 8 December 99 Originl Lecture #5: 9 November 99 Topics: Mnipultions with Qud-Edge Dt Structures Scribe: Mike

More information