Applied Mathematics with Open-Source Software

Applied Mathematics With Open-Source Software: Operational Research Problems With Python And R Is Aimed At A Broad Segment Of Readers Who Wish To Learn How To Use Open-Source Software To Solve Problems In Applied Mathematics. The Book Has An Innovative Structure With 4 Sections Of Two Chapters Covering A Large Range Of Applied Mathematical Techniques: Probabilistic Modelling Dynamical Systems Emergent Behaviour And Optimisation. The Pairs Of Chapters In Each Section Demonstrate Different Families Of Solution Approaches. Each Chapter Starts With A Problem Gives An Overview Of The Relevant Theory Shows A Solution Approach In R And In Python And Finally Gives Wider Context By Including A Number Of Published References. This Structure Will Allow For Maximum Accessibility With Minimal Prerequisites In Mathematics Or Programming As Well As Giving The Right Opportunities For A Reader Wanting To Delve Deeper Into A Particular Topic.Featuresan Excellent Resource For Scholars Of Applied Mathematics And Operational Research And Indeed Any Academics Who Want To Learn How To Use Open-Source Software.Offers More General And Accessible Treatment Of The Subject Than Other Texts Both In Terms Of Programming Language But Also In Terms Of The Subjects Considered.The R And Python Sections Purposefully Mirror Each Other So That A Reader Can Read Only The Section That Interests Them.An Accompanying Open-Source Repository With Source Files And Further Examples Is Posted Online At Https://Bit.Ly/3Kpoksd.