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The approximation of 66 in numbers and systems will remain the same . It is because after rounding off also it will be 66 only.
true
They are called equivalent systems.
Always keep the equation in balance inasmuch that what is done on the RHS must be done on the LHS of the equation.
By definition, you cannot. To solve means to find an answer or solution to a problem or a question. If there is no solution you cannot find one.
The Schrödinger wave equation is only exactly solvable for systems involving a single electron and a fixed nuclei (like the hydrogen atom). For multielectron systems, such as atoms with more than one electron, the exact solution is not possible due to the interactions between the electrons, resulting in complex many-body problems. Approximation methods like Hartree-Fock theory and density functional theory are commonly used to solve the Schrödinger equation for multielectron systems.
Single answer. Coincidental (same equation), No solution.
The linear system is a math model of a system that is based on the use of a linear operator. The linear system and functional approximation to solve the equation Ax equals b for x by calculating an LU decomposition of A back solving where A equals 2 1 1 and b equals 2 11 cannot be solved, because it is missing more information.
You get no solution if the lines representing the graphs of both equations have the same slope, i.e. they're parallel. "No solution" is NOT an answer.
A single equation is several unknowns will rarely have a unique solution. A system of n equations in n unknown variables may have a unique solution.
An iterative method is called locally convergent if the successive approximations produced by the method are guaranteed to converge to a solution when the initial approximation is already close enough to the solution. Iterative methods for nonlinear equationsand their systems, such as Newton's method are usually only locally convergent. An iterative method that converges for an arbitrary initial approximation is called globally convergentfrom wikipedia
The approximation of 66 in numbers and systems will remain the same . It is because after rounding off also it will be 66 only.
The Henderson-Hasselbalch equation is important in the study of buffers because it relates the pH of a buffer solution to its acid dissociation constant (Ka) and the concentration of the acid and its conjugate base. This equation allows scientists to predict how changes in concentration will affect the pH of a buffer solution, making it a valuable tool in designing and understanding buffer systems.
The Henderson-Hasselbach equation provides a general solution to the quantitative treatment of acid-base equilibria in biological systems (Garrett & Grisham, 2005, Biochemistrym, p.42).
Any solution to a system of linear equations must satisfy all te equations in that system. Otherwise it is a solution to AN equation but not to the system of equations.
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