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A curious generalization of the original goal of the puzzle is to start from a given configuration of the disks where all disks are not necessarily on the same peg and to arrive in a minimal number of moves at another given configuration. In general, it can be quite difficult to compute a shortest sequence of moves to solve this problem.
The partial sums of the series 1 + 2 + 3 + 4 + 5 + 6 + ⋯ are 1, 3, 6, 10, 15, etc.The nth partial sum is given by a simple formula: = = (+). This equation was known ...
First, you have to understand the problem. [2] After understanding, make a plan. [3] Carry out the plan. [4] Look back on your work. [5] How could it be better? If this technique fails, Pólya advises: [6] "If you cannot solve the proposed problem, try to solve first some related problem. Could you imagine a more accessible related problem?"
Many mathematical problems have been stated but not yet solved. These problems come from many areas of mathematics, such as theoretical physics, computer science, algebra, analysis, combinatorics, algebraic, differential, discrete and Euclidean geometries, graph theory, group theory, model theory, number theory, set theory, Ramsey theory, dynamical systems, and partial differential equations.
The problem is insolvable because any move changes by an even number. Since a move inverts two cups and each inversion changes W {\displaystyle W} by + 1 {\displaystyle +1} (if the cup was the right way up) or − 1 {\displaystyle -1} (otherwise), a move changes W {\displaystyle W} by the sum of two odd numbers, which is even, completing the proof.
Grigorieva's problem-solving books include: Methods of Solving Number Theory Problems (Birkhäuser, 2018) [2] Methods of Solving Sequence and Series Problems (Birkhäuser, 2016) [3] Methods of Solving Nonstandard Problems (Birkhäuser, 2015) [4] Methods of Solving Complex Geometry Problems (Birkhäuser, 2013) [5]
An infinite series of any rational function of can be reduced to a finite series of polygamma functions, by use of partial fraction decomposition, [8] as explained here. This fact can also be applied to finite series of rational functions, allowing the result to be computed in constant time even when the series contains a large number of terms.
When every term of a series is a non-negative real number, for instance when the terms are the absolute values of another series of real numbers or complex numbers, the sequence of partial sums is non-decreasing. Therefore a series with non-negative terms converges if and only if the sequence of partial sums is bounded, and so finding a bound ...