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The institute was founded in 2001 by Jaypee Group and commenced its operation in the start of academic year in July 2001. Initially it was affiliated to the state university Jaypee University of Information Technology, Waknaghat and started offering only diploma courses. By 1 November 2004, it was declared as a Deemed University by UGC.
Explicit and implicit methods are approaches used in numerical analysis for obtaining numerical approximations to the solutions of time-dependent ordinary and partial differential equations, as is required in computer simulations of physical processes. Explicit methods calculate the state of a system at a later time from the state of the system ...
The Yijin Jing (simplified Chinese: 易筋经; traditional Chinese: 易筋經; pinyin: Yìjīn Jīng; Wade–Giles: I Chin Ching; lit. 'Muscle/Tendon Change Classic') is a manual containing a series of exercises, coordinated with breathing, intended to dramatically enhance physical health when practiced consistently.
Thomas Hanna was born in Nov. 21, 1928 in Waco, Texas, the son of Winifred Hanna and John Dwight Hanna, [8] [9] a traveling representative for a pharmaceutical firm. [10] He went to Waco High School. [9]
The bond valence method or mean method (or bond valence sum) (not to be mistaken for the valence bond theory in quantum chemistry) is a popular method in coordination chemistry to estimate the oxidation states of atoms. It is derived from the bond valence model, which is a simple yet robust model for validating chemical structures with ...
A suicide bag, also known as an exit bag or hood, [1][2] is part of a euthanasia device consisting of a large plastic bag with a drawcord used to die by suicide through inert gas asphyxiation. It is usually used in conjunction with a flow of an inert gas that is lighter or less dense than air, like helium or nitrogen.
Revised simplex method. In mathematical optimization, the revised simplex method is a variant of George Dantzig 's simplex method for linear programming. The revised simplex method is mathematically equivalent to the standard simplex method but differs in implementation. Instead of maintaining a tableau which explicitly represents the ...
The adjoint state method is a numerical method for efficiently computing the gradient of a function or operator in a numerical optimization problem. [1] It has applications in geophysics, seismic imaging, photonics and more recently in neural networks. [2] The adjoint state space is chosen to simplify the physical interpretation of equation ...