matlab

Numerical-Methods

Our Services

A close-up view of an open notebook with graph paper containing handwritten mathematical notes and equations. The notebook rests on a wooden surface with a focus on the neatly aligned lines and clear, precise writing. The overall scene is presented in black and white, giving a classic and studious appearance.
Dive into solving nonlinear equations with clear, step-by-step methods.
A notebook is open to a double-page spread filled with geometric diagrams, arrows, and lines. The left page features intersecting lines and curves with numerical annotations, possibly measurements. The right page contains a complex arrangement of geometric shapes, including triangles, circles, and rectangles, along with arrows and connecting lines. There is a block of indecipherable, handwritten script on the right edge. Both pages have a minimalist, technical aesthetic.
Explore matrices and eigenvalues to unlock complex system behaviors.
A beige calculator with multiple buttons, featuring a display that shows the number 3.14. The calculator has a solar panel and various function keys, including numerical digits, mathematical operations, and memory functions.
Explore matrices and eigenvalues to unlock complex system behaviors.

Root Finding

Implemented bracketing and iterative methods to solve nonlinear equations, refining roots with precision using MATLAB scripts.
A person using a laptop on a wooden table, engaged in what appears to be a math activity on an interactive website. The screen displays a calculator interface with numbers and operational buttons. The person's focus is directed towards the screen.

Matrix Analysis

Explored eigenvalues and matrix decompositions to understand system stability and solve linear algebra problems efficiently.
A page filled with mathematical formulas and integrals, featuring symbols and trigonometric functions such as cos and sin. The text is printed in black on an off-white background, with a slight angle giving a dynamic effect to the layout.

PDE Solutions

Applied adaptive Runge-Kutta and Fourier analysis techniques to numerically solve partial differential equations.
Notebook paper with mathematical equations written in blue ink, alongside the word 'Maths' written prominently in red ink. A pen, placed out of focus, lies on a wooden table in the background.

My Journey

Expertise

With years of hands-on experience tackling nonlinear equations and partial differential equations, I’ve honed practical skills in numerical methods that truly work.

Passionate about making complex math accessible and useful.

Research Assistant

MIT

2015 – 2018

Passionate about making complex math accessible and useful.

Software Engineer

MathWorks

2018 – Present

Developing tools for matrix computations and eigenvalue problems.

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Here

email@email.com
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