Conceptual Dynamic Programming : Optimal Coding Simplified
Conceptual Dynamic Programming : Optimal Coding Simplified
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Conceptual Dynamic Programming : Optimal Coding Simplified

This book is 15% complete

Last updated on 2019-02-24

About the Book

Programming is fun though largely intuitive and less predictable ! Conceptual Programming is more fun and predictable, hence more reliable !!

Includes 100+ solved problems !!!

This book provides conceptual approach to understanding, applying and extending the computational aspect of dynamic programming. This leads to simplification of optimal coding paradigm and enforces correctness as a part of program design with great emphasis on foundational science of dynamic Programming. Familiarity with elementary calculus and probability is assumed. Though aimed primarily at programmers, it imparts the knowledge of deep internals of underlying mathematical concepts to teachers alike.

Care has been taken, as in the forthcoming ones, to present the solutions with multi-concepts and beyond in a simple natural manner, in order to meet the difficulties which are most likely to arise, and to render the work intelligible and instructive.

This work contains several variations of problems, solutions, methods, approaches to enrich, strengthen and enliven the inherent multi-concepts.

About the Author

Chandra Shekhar Kumar
Chandra Shekhar Kumar

Chandra Shekhar Kumar is Co-Founder of Ancient Science Publishers (estd.2014), a venture to publish monographs on mathematics, physics and computer science and render services related to hiring technical talents, training for competitive programming, algorithms, programming interviews, IITJEE and Olympiads. Inspiration for this undertaking came from the writings of Leonhard Euler (mathematics), Richard Phillips Feynman (physics) and Edsger Wybe Dijkstra (computer science).

He is Founder of Ancient Kriya Yoga Mission (estd.2013), a venture to disseminate simple techniques of ancient science of living and publish kriya yoga scriptures and commentaries.

He holds a degree of Integrated M.Sc.(5 yrs) in Physics from IIT Kanpur.

He has worked with software companies like Trilogy, Oracle and few start-ups.

He has been programming in C++ for the last 20 years. He loves to hack gcc, gdb, valgrind, clang, boost, TeX, LaTeX and pours inside the works of Dijkstra and Knuth.

Table of Contents


1 Genesis

1.1 Optimal Loot Partition

1.1.1 Deterministic

1.1.2 Stochastic

1.2 Exam Prep

1.3 Optimal Coin Tossing

1.4 Proving Optimality Principle

2 Computation

2.1 Ascension to Heaven

2.2 Fibonacci Line Search

3 Selection Algorithms

4 String Algorithms

5 Partitioning Problems

6 Optimal Tree Problems

7 Inventory Problems

8 Sequencing Algorithms

9 Graph Algorithms

10 Probabilistic Problems

11 Distribution Problems

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