menu
{ "item_title" : "Introduction to Scientific Computation", "item_author" : [" Brown J David "], "item_description" : "This book introduces scientific computation in an accessible and interactive way for undergraduates, especially those in the sciences, engineering, and mathematics. No prior programming experience is expected. Readers can begin directly from the introductory chapters, which cover basic elements of the Python programming language, then progress to the main chapters where techniques of scientific computation are presented and applied to specific problems. Examples and exercises are included in detail, covering diverse topics from various branches of science. These include cellular automata, the driven damped pendulum, Euler-Bernoulli beam theory, Newton's law of cooling, and many others.Rather than using established routines as a black box to memorize, this book delves into foundational concepts and encourages readers to apply fundamental principles to hands-on problems. Extensive use of scientific Python libraries and Jupyter Notebooks reinforce the student's understanding. This book is well-suited for a first exposure to scientific computation, but also to bridge introductory programming classes with advanced coursework in scientific modeling.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/981/664/9819816645_b.jpg", "price_data" : { "retail_price" : "58.00", "online_price" : "58.00", "our_price" : "58.00", "club_price" : "58.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introduction to Scientific Computation|Brown J David

Introduction to Scientific Computation

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book introduces scientific computation in an accessible and interactive way for undergraduates, especially those in the sciences, engineering, and mathematics. No prior programming experience is expected. Readers can begin directly from the introductory chapters, which cover basic elements of the Python programming language, then progress to the main chapters where techniques of scientific computation are presented and applied to specific problems. Examples and exercises are included in detail, covering diverse topics from various branches of science. These include cellular automata, the driven damped pendulum, Euler-Bernoulli beam theory, Newton's law of cooling, and many others.Rather than using established routines as a black box to memorize, this book delves into foundational concepts and encourages readers to apply fundamental principles to hands-on problems. Extensive use of scientific Python libraries and Jupyter Notebooks reinforce the student's understanding. This book is well-suited for a first exposure to scientific computation, but also to bridge introductory programming classes with advanced coursework in scientific modeling.

This item is Non-Returnable

Details

  • ISBN-13: 9789819816644
  • ISBN-10: 9819816645
  • Publisher: World Scientific Publishing Company
  • Publish Date: October 2025
  • Dimensions: 9 x 6 x 0.69 inches
  • Shipping Weight: 0.98 pounds
  • Page Count: 332

Related Categories

You May Also Like...

    1

BAM Customer Reviews