Multidimensional Integration In Vector Calculus, we have to worry about integrating over two or three variables: double integrals...

In some cases, variables must take integer values, or binary values. Formulating and solving the models with integer...

Laplace transform Laplace transform is a technique for solving differential equations. By using the Laplace transform you can...

Partial derivatives Partial derivative is to differentiate functions of multiple variables. Assume a function f = f(x, y),...

Propositional Logic A proposition (often denoted by capital letters P, Q, etc) is a statement, that can be...

The general form of inhomogenous linear differential equations is: We need 2 initial conditions x(0) = x0, x'(0)...

The simplex method is the most fundamental tool in linear programming, it is a single algorithm that is...

Linear homogeneous differential equation is the second-order ODEs that has the form below, It is important that the...

Euler Method Euler method is a very simple numerical method that can be used to solve differential equations....

Vector Calculus is also known as Multivariate Calculus or “Calculus 3”. Calculus 1 and 2 are Differential Calculus...

There are 2 perspectives to look at linear equation systems, row view and column view. Both are equivalent,...

Operations Research (1): Models and ApplicationsNational Taiwan University This is an amazing beginner-level course about Operations Research (abbr....

In many cases, we need to deal with nonlinear situations, e.g.: product pricing decision, inventory, portfolio optimization. Above...

Matrix Algebra for EngineersThe Hong Kong University of Science and Technology This is undoubtedly a 5-star course. If...

Determinants can tell us whether a matrix has an inverse, and more importantly it can help us solve...

American Contract Law I Andrew Ng Anna Koop Cryptography Differential Equations for Engineers Economics of Money and Banking Evgenii Vashukevich Financial Engineering and Risk Management Part II Foundations of Quantum Mechanics Garud Iyengar Ian Ayres Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (2): Optimization Algorithms Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Understanding Modern Physics I: Relativity and Cosmology Vector Calculus for Engineers Wounjhang Park Xiaobo Zhou Yi Wang Сысоев Сергей Сергеевич

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