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Analyse and propose solutions to problems in planning and implementation of the programmes for rural development; and; Develop content and disseminate information and transfer technology through periodicals, reports, e-modules and other publications. [citation needed]
Sharma made waves with Final Solution, a documentary that presents the 2002 Gujarat riots as an anti-Muslim pogrom orchestrated by right-wing Hindu nationalists in Gujarat. Himself a Hindu, Sharma used primary sources — testimony from both victims and perpetrators — to allege that the state was complicit in the violence. [6] [7] [8]
Final Solution documentary film directed by Rakesh Sharma concerning the 2002 Gujarat riots in the state of Gujarat in which 254 Hindus and 790 Muslims were killed. Hindu right-wing organizations were made responsible for these riots, which took place as a "spontaneous response" to the killing of 70 Hindu pilgrims in the Godhra Train Burning by a mob of radical Muslims on 27 February 2002.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Ram Sharan Sharma (26 November 1919 – 20 August 2011 [1]) was an Indian Marxist historian and Indologist [2] who specialised in the history of Ancient and early Medieval India. [3] He taught at Patna University and Delhi University (1973–85) and was visiting faculty at University of Toronto (1965–1966).
Yuyutsu Ram Dass Sharma (Nepali: युयुत्सु शर्मा; born January 5, 1960) is a Nepalese-Indian poet and journalist. He was born at Nakodar , Punjab and moved to Nepal at an early age.
The satisfiability problem, also called the feasibility problem, is just the problem of finding any feasible solution at all without regard to objective value. This can be regarded as the special case of mathematical optimization where the objective value is the same for every solution, and thus any solution is optimal.
Many differential equations cannot be solved exactly. For practical purposes, however – such as in engineering – a numeric approximation to the solution is often sufficient. The algorithms studied here can be used to compute such an approximation. An alternative method is to use techniques from calculus to obtain a series expansion of the ...