Serious Solvers

Making advanced math and engineering easy to understand for everyone—learn, explore, and master complex concepts!

Matrices in Cryptography
Matrices in Cryptography
Using an Integrating Factor to Solve First Order Differential Equations
Using an Integrating Factor to Solve First Order Differential Equations
The Gambler's Ruin Problem (Absorbing State Markov Chains)
The Gambler's Ruin Problem (Absorbing State Markov Chains)
What Exactly is a Markov Chain?
What Exactly is a Markov Chain?
Fourier Series Terminology: Why do People Refer to Angular Velocity and Frequency Interchangeably?
Fourier Series Terminology: Why do People Refer to Angular Velocity and Frequency Interchangeably?
How to Derive the Fourier Transform from the Fourier Series
How to Derive the Fourier Transform from the Fourier Series
A Full Course on Integration (Multivariable Calculus) - Mastering Line & Multiple Integrals
A Full Course on Integration (Multivariable Calculus) - Mastering Line & Multiple Integrals
Algebra in Simplest Terms (Old Annenberg TV Series) - Probability
Algebra in Simplest Terms (Old Annenberg TV Series) - Probability
A Full Course on Differentiation (Multivariable Calculus)
A Full Course on Differentiation (Multivariable Calculus)
What is Exactly is a Moment? Centre of Mass Calculation (Multivariable Calculus)
What is Exactly is a Moment? Centre of Mass Calculation (Multivariable Calculus)
A Full Course on the Fourier Series
A Full Course on the Fourier Series
Partial Properties & Derivation of the Gibbs-Duhem Equation
Partial Properties & Derivation of the Gibbs-Duhem Equation
What Exactly is Entropy? Why Does It Matter in Thermodynamics? Why is it dQ/T?
What Exactly is Entropy? Why Does It Matter in Thermodynamics? Why is it dQ/T?
What Exactly is Meant by a
What Exactly is Meant by a "Reversible" Process in Thermodynamics?
Exact Differentials & Thermodynamic Potentials - Derivation of the Fundamental Property Relationship
Exact Differentials & Thermodynamic Potentials - Derivation of the Fundamental Property Relationship
Gibb's Energy | Helmholtz Energy | Enthalpy | What Exactly Are They? | An Intuitive Explanation
Gibb's Energy | Helmholtz Energy | Enthalpy | What Exactly Are They? | An Intuitive Explanation
KNN Algorithm in Machine Learning | KNN Using MS Excel | K Nearest Neighbor
KNN Algorithm in Machine Learning | KNN Using MS Excel | K Nearest Neighbor
What Exactly is the Strong Law of Large Numbers? How Does it Guarantee Averages?
What Exactly is the Strong Law of Large Numbers? How Does it Guarantee Averages?
Expectation of Discrete Random Variables
Expectation of Discrete Random Variables
What Exactly is the Poisson Distribution? Where Does it Come From?
What Exactly is the Poisson Distribution? Where Does it Come From?
What Exactly are Binomial Random Variables? How are they used to simplify real world problems?
What Exactly are Binomial Random Variables? How are they used to simplify real world problems?
Permutations vs Combinations EXPLAINED Simply
Permutations vs Combinations EXPLAINED Simply
What Are Random Variables? Simplified Explanation
What Are Random Variables? Simplified Explanation
Artificial Neural Networks Made Simple: Learn & Create One in Excel (No Coding!)
Artificial Neural Networks Made Simple: Learn & Create One in Excel (No Coding!)
Principal Component Analysis Made Simple: Why PCA is a Game-Changer in Data Analysis
Principal Component Analysis Made Simple: Why PCA is a Game-Changer in Data Analysis
Overview of Inner Product Spaces, Orthogonality, Gram Schmidt Method, and Hilbert Spaces
Overview of Inner Product Spaces, Orthogonality, Gram Schmidt Method, and Hilbert Spaces
Matrices in Quantum Mechanics - Hermitian, Unitary, Eigenstates
Matrices in Quantum Mechanics - Hermitian, Unitary, Eigenstates
Matrix Powers Explained: Unlocking the Secrets of Diagonalization and Steady States
Matrix Powers Explained: Unlocking the Secrets of Diagonalization and Steady States
Easy trick to remember 9x table
Easy trick to remember 9x table
What Exactly are Eigenvalues and Eigenvectors? What is the point of them? Why do we learn about it?
What Exactly are Eigenvalues and Eigenvectors? What is the point of them? Why do we learn about it?