Comments for JACK TRAINER /stor-i-student-sites/jack-trainer My Personal Blog Mon, 02 Feb 2026 04:46:00 +0000 hourly 1 https://wordpress.org/?v=7.0.3 Comment on The P vs NP Problem by David D Zelenka /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-21703 Mon, 02 Feb 2026 04:46:00 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-21703 In reply to Alain Valade.

That’s the problem exactly. Are there really wormholes? If they don’t exist in physics, then should they exist in math?
Here’s a recent proof of P !=NP based on the Intrinsic Operational Gradient Theorem

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Comment on The P vs NP Problem by Quoss Wimblik /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-18069 Tue, 22 Jul 2025 18:20:21 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-18069 Turning Sudoku into Slidedoku.

The idea here is to first fill the unsolved cells with an easy possibilities state with coloring that is allowed to repeat once for every sub grid row or column. Then slide with cell to cell relations in each sub grid row or column of a cell from the state of repeated singles to pairs where the number in a pair can repeat only once and some triples where if the number is in a triple it can repeat twice.
And start to put in true single clues until from one legal move at a time per cell you slide to a fully non repeating colour value for every unsolved cell in the grid.

Note.
You can test assumed true values collectively on an open grid version of the problem to find definite conflicts and more local optimal truth value relations.
You can also test for wrong numbers against the open grid. Or use the most faulty and true numbers to assort colours into labeled colour group grid problems to find definite conflicts with single colours or groups of colour possibilities of a cell.
You can also slide in values you learned are true after the initial clues to allow flexibility and snap to.
You can have groupings of numbers entangled for sub grids rows or columns to increase the potential incremental hardening.

The question is with all this technique how well can you flatten the Matt how close can you get to the real values for the cells if not perfectly then how good an approximation in a quick enough time. Could you improve on the current big O or accuracy.

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Comment on The P vs NP Problem by Alain Valade /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-17742 Sun, 29 Jun 2025 14:55:46 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-17742 In reply to Alain Valade.

. . . I forgot that ; If there is a proof that P=NP ! , so , will this proof also indirectly prove that Wormholes exist since they look similar ?
I am drooling again . . . . Thank you

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Comment on The P vs NP Problem by Alain Valade /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-17695 Wed, 25 Jun 2025 15:03:22 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-17695 Troubling question : If P=NP is found so would improve processing speed by 100 000 times I read , then , could we use P=NP to ask for a way to improve this speed ?
I am drooling over this answer . Thank you

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Comment on The P vs NP Problem by Quoss Wimblik /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-11503 Sun, 10 Nov 2024 21:03:18 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-11503 In sudoku make 1 equal and range of possibilities from all the possibilities in a single sudoku cell. This implies so many 1’s per adjectent row column and subgrid and you can compare your 1 assumption or multiple 1 assumptions at once against other groupings upgrading the data where applicable until the grid is solved or you run into a conflict (too many 1’s in a row subgrid or column discovered) and you may be able to solve sudoku in p time.

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Comment on How NASA used the Kalman Filter in the Apollo program by Val /stor-i-student-sites/jack-trainer/how-nasa-used-the-kalman-filter-in-the-apollo-program/#comment-8988 Thu, 29 Aug 2024 00:22:39 +0000 /stor-i-student-sites/jack-trainer/?p=1066#comment-8988 Happened to run across this article when looking for more interesting links to include in my own article about the Kalman Filter:

I don’t have your math background so I probably made a few mistakes you could spot if you had a second to look it over 🙂

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Comment on The P vs NP Problem by Quoss Wimblik /stor-i-student-sites/jack-trainer/the-p-vs-np-problem/#comment-7947 Thu, 25 Jul 2024 12:26:52 +0000 http://www.lancaster.ac.uk/stor-i-student-sites/jack-trainer/?p=966#comment-7947 Oeis A002260 A004736 can be used to reduce a single 3 sat problems into 2 3 sat problems that are easier to solve. Just think counting one number with 2 smaller numbers.

So you have groups of lines and you have to connect the line one line connected to another line but only one connection per line and your not allowed to connect a group more than once to another group. This problem might be np complete.

Those are my thoughts regarding the issue.

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Comment on Thoughts on RL with a changing action/state space by Vitor Martins /stor-i-student-sites/jack-trainer/thoughts-on-rl-with-a-changing-action-state-space/#comment-4324 Wed, 06 Mar 2024 12:08:17 +0000 /stor-i-student-sites/jack-trainer/?p=1227#comment-4324 But if the action space and state space was shaped only to the leggal actions, i.e. the Neural Network is modeled accounting that, the training time won’t be smaller ?

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Comment on Thoughts on RL with a changing action/state space by Heng /stor-i-student-sites/jack-trainer/thoughts-on-rl-with-a-changing-action-state-space/#comment-2628 Tue, 26 Sep 2023 14:00:15 +0000 /stor-i-student-sites/jack-trainer/?p=1227#comment-2628 Hi, do you have some examples or papers about your mentioned first method?

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Comment on Thoughts on RL with a changing action/state space by feifei /stor-i-student-sites/jack-trainer/thoughts-on-rl-with-a-changing-action-state-space/#comment-2617 Sun, 24 Sep 2023 03:49:23 +0000 /stor-i-student-sites/jack-trainer/?p=1227#comment-2617 your article is great! Currently I am exploring the ideas about how to resolve non-fixed sized action space and non-fixed sized and complicated state space. I will need to check on the pointer network.

Thanks.

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