000 03566nam a22006015i 4500
001 978-981-287-874-8
003 DE-He213
005 20220801222322.0
007 cr nn 008mamaa
008 160204s2016 si | s |||| 0|eng d
020 _a9789812878748
_9978-981-287-874-8
024 7 _a10.1007/978-981-287-874-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aPeterson, James K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960854
245 1 0 _aCalculus for Cognitive Scientists
_h[electronic resource] :
_bDerivatives, Integrals and Models /
_cby James K. Peterson.
250 _a1st ed. 2016.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2016.
300 _aXXXI, 507 p. 105 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Science and Technology,
_x2195-3996
505 0 _aIntroductory Remarks -- Viability Selection -- Limits and Basic Smoothness -- Continuity and Derivatives -- Sin, Cos and All That -- Antiderivatives -- Substitutions -- Riemann Integration -- The Logarithm and Its Inverse -- Exponential and Logarithm Function Properties -- Simple Rate Equations -- Simple Protein Models -- Logistics Models -- Function Approximation -- Extreme Values -- Numerical Methods Order One ODEs -- Advanced Protein Models -- Matrices and Vectors -- A Cancer Model -- First Order Multivariable Calculus -- Second Order Multivariable Calculus -- Hamilton’s Rule In Evolutionary Biology -- Final Thoughts -- Background Reading.
520 _aThis book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science. As such the book covers calculus on one variable and two variables and works through a number of interesting first-order ODE models. It clearly uses MatLab in computational exercises where the models cannot be solved by hand, and also helps readers to understand that approximations cause errors – a fact that must always be kept in mind.
650 0 _aComputational intelligence.
_97716
650 0 _aNeural networks (Computer science) .
_960855
650 0 _aMathematical physics.
_911013
650 0 _aArtificial intelligence.
_93407
650 0 _aImage processing—Digital techniques.
_931565
650 0 _aComputer vision.
_960856
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_932913
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_931560
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
710 2 _aSpringerLink (Online service)
_960857
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789812878724
776 0 8 _iPrinted edition:
_z9789812878731
776 0 8 _iPrinted edition:
_z9789811357190
830 0 _aCognitive Science and Technology,
_x2195-3996
_960858
856 4 0 _uhttps://doi.org/10.1007/978-981-287-874-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80638
_d80638