Numerical Solutions of Initial Value Problems Using Mathematica, Hardcover by…
The problems are motion under constant force (free fall), motion under Hooke’s law force (simple harmonic motion), motion under combination of Hooke’s law force and a velocity dependent damping force (damped harmonic motion) and radioactive decay law.
Numerical Solutions of Initial Value Problems Using Mathematica, Hardcover by…
The problems are motion under constant force (free fall), motion under Hooke’s law force (simple harmonic motion), motion under combination of Hooke’s law force and a velocity dependent damping force (damped harmonic motion) and radioactive decay law.
Numerical Solutions of Initial Value Problems Using Mathematica, Paperback by…
The problems are motion under constant force (free fall), motion under Hooke’s law force (simple harmonic motion), motion under combination of Hooke’s law force and a velocity dependent damping force (damped harmonic motion) and radioactive decay law.
Numerical Solutions Of Initial Value Problems Using Mathematica
Publication Date: 2018-06-06. Number of Pages: 58. Author: Chowdhury, Sujaul (Author), Das, Ponkog Kumar (Author). Publisher: Iop Concise Physics.
Numerical Solutions Of Initial Value Problems Using Mathematica
Publication Date: 2018-06-06. Number of Pages: 58. Author: Chowdhury, Sujaul (Author), Das, Ponkog Kumar (Author). Publisher: Iop Concise Physics.
1st edition 2 vol hardcover set An Axiomatic Basis for Quantum Mechanics: Ludwig
Not Ex libris.
Mathematics for Machine Learning by Marc Peter Deisenroth Cambridge Univ. Press
These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites.
Python Machine Learning By Example: Unlock machine learning best practices w…
You are purchasing a Like New copy of ‘Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases’.
Statistics and Calculus Workshop : A Comprehensive Introduction to…
The “Statistics and Calculus Workshop” is a comprehensive textbook authored by Peter Farrell, designed for students and professionals looking to deepen their understanding of mathematics in the context of artificial intelligence applications. Published by Packt Publishing in 2020, this trade paperback offers 740 pages of content focused on the intersection of computers, science, and programming […]
Verification, Validation, and Uncertainty Quantification in Scientific Computin
Readable, but has significant damage / tears. Has a remainder mark. hardcover Used – Acceptable 2025