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Solve this geometry problem without using trigonometry

In this video, we solve a challenging geometry problem using pure logic, geometric reasoning, and smart observations—no trigonometric formulas required. This approach helps you build deeper ...
GitHub

Portfolio Optimization in Python (Sharpe Ratio, Minimum Variance, Target Return)

SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...
SciELO

A COMPUTATIONAL STUDY ON THE GLOBAL SOLUTION OF NONCONVEX QUADRATIC CONSTRAINTS AND QUADRATIC PROGRAMMING PROBLEMS

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...
Frontiers

Collaborative optimal operation control of HVAC systems based on multi-agent

The HVAC system of public buildings, as a thermostatically controlled load, accounting for a relatively significant proportion of building energy consumption. Therefore, it is necessary to optimize ...
Nasdaq

MicroCloud Hologram Inc. Develops Nonlinear Quantum Optimization Technology Based on Efficient Model Encoding

SHENZHEN, China, May 12, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a groundbreaking ...
IEEE

Continuous-Time Heavy-Ball Gradient Method: Safety, Stability and Robustness

Abstract: This letter proposes a continuous-time heavy-ball dynamical system to solve a constrained nonlinear optimization problem, ensuring forward invariance of the constraint set. Recent research ...
earth

AI algorithms can increase ocean plastic cleanup efficiency

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...
The Harvard Crimson

Harvard Has an Optimization Epidemic

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...
IEEE

Self-Organizing Model Predictive Control for Constrained Nonlinear Systems

Abstract: Model predictive control (MPC) is a practical method for addressing control issues in constrained systems. System identification and constrained optimization are two key problems that affect ...
Scientific Research Publishing

Multidisciplinary Design Optimization of UAV Considering Development Costs ()

1 College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. 2 Shenyang Aircraft Design Institute, AVIC, Shenyang, China. The paper establishes a ...
Frontiers

A novel discrete zeroing neural network for online solving time-varying nonlinear optimization problems

To reduce transportation time, a discrete zeroing neural network (DZNN) method is proposed to solve the shortest path planning problem with a single starting point and a single target point. The ...