Students can plan their studies for board exam preparation with the official CBSE Class 12 Applied Maths syllabus (2026-27).

Abstract: High-resolution millimeter-wave (mmWave) 3-D synthetic aperture radar (SAR) imaging typically requires dense spatial sampling over large arrays or structured scanning trajectories. This ...

Large observational datasets are often used in epidemiology or social sciences to identify risk factors associated with health outcomes. However, these studies can be misleading when the putative risk ...

If you've previously been using procedural calls to functions and operations using this library, then from version 3.0 you should use MarkBaker/PHPMatrixFunctions instead (available on packagist as ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

We present a systematic derivation of three mathematical models of increasing complexity for optical design, based on Hamilton’s characteristic functions and conservation of luminous flux, and briefly ...

In aortic stenosis, the myocardium responds with left ventricular hypertrophy, which is characterized by increased left ventricular mass due to cellular hypertrophy and extracellular matrix expansion.

Implements selected inverse reinforcement learning (IRL) algorithms as part of COMP3710, supervised by Dr Mayank Daswani and Dr Marcus Hutter. My final report is available here and describes the ...

Abstract: Inverse kinematics involves calculating joint configurations for a robot manipulator to perform tasks. To solve this problem, various approaches have been proposed, including meta-heuristics ...

In this paper, we have proposed a novel model called proximal support matrix machine (PSMM), which is mainly based on the models of proximal support vector machine (PSVM) and low rank support matrix ...