Math for Programming
Author: Kneusel, Ronald T.
ISBN: 9781718503588
Publisher: RANDOM HOUSE US
Year first published: 20 May 2025
Pages: 504
Format: Paperback / softback
Plt;bPgt;A one-stop-shop for all the math you should have learned for your programming career.Plt;/bPgt;
Plt;bPgt;A one-stop-shop for all the math you should have learned for your programming career.Plt;/bPgt;Plt;brPgt;Plt;brPgt;Every great programming challenge has mathematical principles at its heart. Whether youP#8217;re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts. Plt;brPgt;Plt;brPgt;In Plt;iPgt;Math for ProgrammingPlt;/iPgt;, youP#8217;ll master the essential mathematics that will take you from basic coding to serious software development. YouP#8217;ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Plt;brPgt;Plt;brPgt;Through clear explanations and practical examples, youP#8217;ll learn to:Plt;brPgt;Plt;ulPgt;Plt;liPgt;Harness linear algebra to manipulate data with unprecedented efficiencyPlt;/liPgt;Plt;liPgt;Apply calculus concepts to optimize algorithms and drive simulationsPlt;/liPgt;Plt;liPgt;Use probability and statistics to model uncertainty and analyze dataPlt;/liPgt;Plt;liPgt;Master the discrete mathematics that powers modern data structuresPlt;/liPgt;Plt;liPgt;Solve dynamic problems through differential equationsPlt;/liPgt;Plt;/ulPgt;Plt;brPgt;Whether youP#8217;re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Plt;iPgt;Math for ProgrammingPlt;/iPgt; will turn complex math into a practical tool youP#8217;ll use every day.
ISBN: 9781718503588
Publisher: RANDOM HOUSE US
Year first published: 20 May 2025
Pages: 504
Format: Paperback / softback
Plt;bPgt;A one-stop-shop for all the math you should have learned for your programming career.Plt;/bPgt;
Plt;bPgt;A one-stop-shop for all the math you should have learned for your programming career.Plt;/bPgt;Plt;brPgt;Plt;brPgt;Every great programming challenge has mathematical principles at its heart. Whether youP#8217;re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts. Plt;brPgt;Plt;brPgt;In Plt;iPgt;Math for ProgrammingPlt;/iPgt;, youP#8217;ll master the essential mathematics that will take you from basic coding to serious software development. YouP#8217;ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Plt;brPgt;Plt;brPgt;Through clear explanations and practical examples, youP#8217;ll learn to:Plt;brPgt;Plt;ulPgt;Plt;liPgt;Harness linear algebra to manipulate data with unprecedented efficiencyPlt;/liPgt;Plt;liPgt;Apply calculus concepts to optimize algorithms and drive simulationsPlt;/liPgt;Plt;liPgt;Use probability and statistics to model uncertainty and analyze dataPlt;/liPgt;Plt;liPgt;Master the discrete mathematics that powers modern data structuresPlt;/liPgt;Plt;liPgt;Solve dynamic problems through differential equationsPlt;/liPgt;Plt;/ulPgt;Plt;brPgt;Whether youP#8217;re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Plt;iPgt;Math for ProgrammingPlt;/iPgt; will turn complex math into a practical tool youP#8217;ll use every day.
