LEADER 03956nam 22007695 450 001 9910253963403321 005 20220404232328.0 010 $a981-287-877-7 024 7 $a10.1007/978-981-287-877-9 035 $a(CKB)3710000000596810 035 $a(EBL)4403300 035 $a(SSID)ssj0001653351 035 $a(PQKBManifestationID)16433585 035 $a(PQKBTitleCode)TC0001653351 035 $a(PQKBWorkID)14983062 035 $a(PQKB)10696199 035 $a(DE-He213)978-981-287-877-9 035 $a(MiAaPQ)EBC4403300 035 $z(PPN)258868147 035 $a(PPN)192221027 035 $a(EXLCZ)993710000000596810 100 $a20160209d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCalculus for cognitive scientists$b[electronic resource] $ehigher order models and their analysis /$fby James K. Peterson 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (567 p.) 225 1 $aCognitive Science and Technology,$x2195-3988 300 $aDescription based upon print version of record. 311 $a981-287-875-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroductory Remarks -- Linear Algebra -- Numerical Methods Order One ODEs -- Multivariable Calculus -- Integration -- Complex Numbers -- Linear Second Order ODEs -- Systems -- Numerical Methods Systems of ODEs -- Predator Prey Models -- Predator Prey Models With Self Interaction -- Disease Models -- A Cancer Model -- Nonlinear Differential Equations -- An Insulin Model -- Series Solutions -- Final Thoughts -- Background Reading. 330 $aThis book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions. It also shows how to solve cable models using separation of variables and the Fourier Series. 410 0$aCognitive Science and Technology,$x2195-3988 606 $aComputational intelligence 606 $aMathematical physics 606 $aNeural networks (Computer science)  606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aTheoretical, Mathematical and Computational Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19005 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aComputational intelligence. 615 0$aMathematical physics. 615 0$aNeural networks (Computer science) . 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aComputational Intelligence. 615 24$aTheoretical, Mathematical and Computational Physics. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a515.15 700 $aPeterson$b James K$4aut$4http://id.loc.gov/vocabulary/relators/aut$048556 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253963403321 996 $aCalculus for Cognitive Scientists$91541108 997 $aUNINA