Hello. I have this task to sum the numbers as shown. Tried everything I can, but still not the right answer. Can I have some guidance?
static void Main(string[] args)
{
string input = Console.ReadLine();
int n = (int)char.GetNumericValue(input[0]);
int m = (int)char.GetNumericValue(input[2]);
int[,] matrix = new int[n, m];
int sum = 0;
//fill matrix
for (int i = 0; i < n; i++)
{
for (int j = 0; j < m; j++)
{
matrix[i, j] = (j * 3 + 1) + i * 3;
}
}
for (int i = 0; i < matrix.GetLength(0) - 1; i+=1)
{
for (int j = 0; j < matrix.GetLength(1) - i; j+=1)
{
if (i % 2 == 0)
{
sum += matrix[i, j + i] + matrix[i + 1, j + 1];
}
}
}
Console.WriteLine(sum);
}
I think you would've a easier time hard coding the input (and naming them as "columns" and "rows" instead, much more readable).
What is the expected output? Not sure I'm following this sum. I'm guessing, 297? If so:
for (int i = 0; i < matrix.GetLength(0); i++)
{
for (int j = 0; j < matrix.GetLength(1); j++)
{
Console.Write(matrix[i, j] + " ");
if(j == 5) Console.WriteLine();
if (matrix[i, j] % 2 != 0)
{
if (i == 0 || i == matrix.GetLength(0) - 1
|| j == 0 || j == matrix.GetLength(0))
{
sum += (matrix[i, j]);
}
else
{
sum += (matrix[i, j] * 2);
}
}
}
}
[i, j] add the biggest values of matrix to j the new array
its here:
But smallest not working..
Min values in "j" (not working)
for (int i = 0; i < olay; i++)
{
for (int j = 0; j < state; j++)
{
if (minimax[i] > matris[i, j])
{
minimax[i] = matris[i, j];
}
}
}
Console.WriteLine();
for (int i = 0; i < minimax.Length; i++)
{
Console.WriteLine(i + 1 + ". MINIMAX " + minimax[i]);
}
Console.ReadLine();
}
Max VALUES IN "J" (WORKING)
for (int i = 0; i < olay; i++)
{
for (int j = 0; j < state; j++)
{
if (maximax[i] < matris[i, j])
{
maximax[i] = matris[i, j];
}
}
}
/* Olaylar icin en yuksek State degerleri */
Console.WriteLine();
for (int i = 0; i < maximax.Length; i++)
{
Console.WriteLine(i + 1 + ". MAXIMAX " + maximax[i]);
}
Output console:
IMG Lınk: https://pasteboard.co/IKKQlet.jpg
The default values in your arrays are 0.
To calculate the minimum value in each column and write it to an array you can do something like this:
var resultArray = new int[rowLength];
var matrix = new int[rowLength, columnLength];
for (int i = 0; i < rowLength; i++)
{
// you have to set the first value as a minimum and after that compare
resultArray[i] = matrix[i, 0];
for (int j = 1; j < columnLength; j++)
{
if (matrix[i, j] < resultArray[i])
{
resultArray[i] = matrix[i, j];
}
}
}
I have a neural network in visual studio. for the loss function I am using a basic cost function (pred-target)**2 and after I finish an epoch I optimize the parameter functions afterwards, but the algorithm doesn't work.
No matter what is my network configuration, the predictions are not write (it is the same output for all the inputs) and the loss function is not optimized. It stays the same through all the epochs.
void calc_lyr(int x, int y, int idx, float target) // thus function calculates the neuron value based on the previous layer
{
if (x == -1 || y == 0) // if its the first layer, get the data from input nodes
{
for (int i = 0; i < neurons[y]; i++)
{
float sum = 0;
for (int j = 0; j < inputTypes.Count; j++)
{
sum += weights[x+1][j][i] * training_test[idx][j];
}
sum = relu(sum);
vals[y+1][i] = sum;
}
}
else
{
for(int i = 0; i < neurons[y]; i++)
{
float sum = 0;
for(int j = 0; j < neurons[x]; j++)
{
sum += weights[x+1][j][i] * vals[x+1][j] + biases[y][i];
}
sum = relu(sum);
vals[y+1][i] = sum;
}
}
}
void train()
{
log("Proces de antrenare inceput ----------------- " + DateTime.Now.ToString());
vals = new List<List<float>>();
weights = new List<List<List<float>>>();
biases = new List<List<float>>();
Random randB = new Random(DateTime.Now.Millisecond);
Random randW = new Random(DateTime.Now.Millisecond);
for (int i = 0; i <= nrLayers; i++)
{
progressEpochs.Value =(int)(((float)i * (float)nrLayers) / 100.0f);
vals.Add(new List<float>());
weights.Add(new List<List<float>>());
if (i == 0)
{
for (int j = 0; j < inputTypes.Count; j++)
{
vals[i].Add(0);
}
}
else
{
biases.Add(new List<float>());
for (int j = 0; j < neurons[i-1]; j++)
{
vals[i].Add(0);
float valB = (float)randB.NextDouble();
biases[i-1].Add(valB - ((int)valB));
}
}
}
float valLB = (float)randB.NextDouble();
biases.Add(new List<float>());
biases[nrLayers].Add(valLB - ((int)valLB));
for (int i = 0; i <= nrLayers; i++)
{
if (i == 0)
{
for (int j = 0; j < inputTypes.Count; j++)
{
weights[i].Add(new List<float>());
for (int x = 0; x < neurons[i]; x++)
{
float valW = (float)randW.NextDouble();
weights[i][j].Add(valW);
}
}
}
else if (i == nrLayers)
{
for (int j = 0; j < neurons[i-1]; j++) {
weights[i].Add(new List<float>());
weights[i][j].Add(0);
}
}
else
{
for (int j = 0; j < neurons[i - 1]; j++)
{
weights[i].Add(new List<float>());
for (int x = 0; x < neurons[i]; x++)
{
float valW = (float)randW.NextDouble();
weights[i][j].Add(valW);
}
}
}
}
Random rand = new Random(DateTime.Now.Millisecond);
log("\n\n");
for (int i = 0; i < epochs; i++)
{
log("Epoch " + (i + 1).ToString() + " inceput ---> " + DateTime.Now.ToString());
int idx = rand.Next() % training_test.Count;
float target = outputsPossible.IndexOf(training_labels[idx]);
for (int j = 0; j < nrLayers; j++)
{
calc_lyr(j - 1, j, idx, target);
}
float total_val = 0;
for(int x = 0; x < neurons[nrLayers - 1]; x++)
{
float val = relu(weights[nrLayers][x][0] * vals[nrLayers][x] + biases[nrLayers][0]);
total_val += val;
}
total_val = sigmoid(total_val);
float cost_res = cost(total_val, target);
log("Epoch " + (i+1).ToString() + " terminat ----- " + DateTime.Now.ToString() + "\n");
log("Eroare epoch ---> " + (cost_res<1?"0":"") + cost_res.ToString("##.##") + "\n\n\n");
float cost_der = cost_d(total_val, target);
for (int a = 0; a < weights.Count; a++)
{
for (int b = 0; b < weights[a].Count; b++)
{
for (int c = 0; c < weights[a][b].Count; c++)
{
weights[a][b][c]-=cost_der*learning_rate * sigmoid_d(weights[a][b][c]);
}
}
}
for (int a = 0; a < nrLayers; a++)
{
for (int b = 0; b < neurons[a]; b++)
{
biases[a][b] -= cost_der * learning_rate;
}
}
}
hasTrained = true;
testBut.Enabled = hasTrained;
MessageBox.Show("Antrenament complet!");
SavePrompt sp = new SavePrompt();
sp.Show();
}
How can it be changed to optimize the weights, biases and loss function? For now, when I try to debug, the weights are changing, but it is the same value for the loss function.
I solved it by using AForge.NET: link
I'm coming back to programming after having done none for several years, and created a Sudoku game to get my feet wet again. I've written a recursive function to brute-force a solution, and it will do so for simple board states, but runs into a stack overflow most of the time for more complicated board states. I know that this could be averted using loops or a more efficient algorithm, but since this is for the sake of learning I want to know how to allocate more memory to the stack (acknowledging this isn't the best solution to the problem).
An answer here: How to change stack size for a .NET program? that recommends using a thread with more memory allocated isn't working, as from what I can read .NET 4.0 will not let you increase a thread's maximum allocated memory beyond the default.
Another solution recommends using EDITBIN.EXE, but I am new to Visual Studio and have not found an explanation I understand of how to do so.
Similarly, I've found that you can use a .def file to indicate a larger default stack size, but have not found an explanation I understand of how to create/implement one.
Can anyone offer newbie-level explanations of either EDITBIN.EXE or .def file implementations, or offer another way to increase the stack size?
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.IO;
namespace Sudoku
{
//object keeps track of the value of all numbers currently on the board using an array
class BoardState
{
int testcount = 1;
//3d array of ints representing all values on the board, represted as region, column, row
int[,,] boardVals;
//3d array of bools representing if a number is immutable (true cannot be changed, false can be)
bool[,,] fixedVals;
//create a blank board if no initial values are provided
public BoardState()
{
boardVals = new int[9, 3, 3];
fixedVals = new bool[9, 3, 3];
}
//create a board with the listed initial values as immutable
public BoardState(int[,,] inputVals)
{
boardVals = inputVals;
fixedVals = new bool[9,3,3];
for (int i = 0; i < 9; ++i)
for (int j = 0; j < 3; ++j)
for (int k = 0; k < 3; ++k)
if (boardVals[i, j, k] > 0) fixedVals[i, j, k] = true;
}
//update the state of the board using the coordinates of a single value
//**note** method has not been implemented and tested yet
public void updateState(int region, int column, int row, int val)
{
if (!fixedVals[region, column, row])
{
boardVals[region, column, row] = val;
}
}
//update the state of the board to match the state of another board
public void updateState(int[,,] newState)
{
boardVals = newState;
}
public int[,,] getVals()
{
return boardVals;
}
public bool[,,] getFixed()
{
return fixedVals;
}
//set all non-zero values to be immutable
public void setFixed()
{
for (int i = 0; i < 9; i++)
for (int j = 0; j < 3; j++)
for (int k = 0; k < 3; k++) {
if (boardVals[i, j, k] != 0)
fixedVals[i, j, k] = true;
else
fixedVals[i, j, k] = false;
}
}
//test method
public void testState()
{
for (int i = 0; i < 9; i++)
for (int j = 0; j < 3; j++)
for (int k = 0; k < 3; k++)
Console.WriteLine(boardVals[i, k, j]);
}
//accepts a 3d array representing the current board state.
//returns a 3d bool array denoting whether any region, row, or column is invalid (true=invalid)
//first value of array designates the region, row, or column respectively
//second value designates which of those is invalid
public bool[,] validateBoard()
{
bool[,] valid = new bool[3, 9];
int[,] rows = makeRows(boardVals);
int[,] cols = makeCols(boardVals);
//compare each value in each row to each other value in that row
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
//only validate an entry if it has been assigned a value
if (rows[i, j] != 0)
{
for (int k = 0; k < 9; k++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (j != k && rows[i, j] == rows[i, k])
valid[1, i] = true;
}
}
}
}
//compare each value in each column to each other value in that column
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
//only validate an entry if it has been assigned a value
if (cols[i, j] != 0)
{
for (int k = 0; k < 9; k++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (j != k && cols[i, j] == cols[i, k])
valid[2, i] = true;
}
}
}
}
//compare each value in each region to each other value in that region
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 3; j++)
{
for (int k = 0; k < 3; k++)
{
//only validate an entry if it has been assigned a value
if (boardVals[i, j, k] != 0)
{
for (int l = 0; l < 3; l++)
{
for (int m = 0; m < 3; m++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (!(l == j && m == k) && boardVals[i, j, k] == boardVals[i, l, m])
valid[0, i] = true;
}
}
}
}
}
}
return valid;
}
public bool isValid()
{
bool retFlag = true;
bool[,] valid = new bool[3, 9];
int[,] rows = makeRows(boardVals);
int[,] cols = makeCols(boardVals);
//for (int i = 0; i < 9; i++)
// for (int j = 0; j < 3; j++)
// for (int k = 0; k < 3; k++)
// Console.Write(boardVals[i, j, k]);
//compare each value in each row to each other value in that row
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
//only validate an entry if it has been assigned a value
if (rows[i, j] != 0)
{
for (int k = 0; k < 9; k++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (j != k && rows[i, j] == rows[i, k])
{
retFlag = false;
}
}
}
}
}
//compare each value in each column to each other value in that column
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
//only validate an entry if it has been assigned a value
if (cols[i, j] != 0)
{
for (int k = 0; k < 9; k++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (j != k && cols[i, j] == cols[i, k])
{
retFlag = false;
}
}
}
}
}
//compare each value in each region to each other value in that region
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 3; j++)
{
for (int k = 0; k < 3; k++)
{
//only validate an entry if it has been assigned a value
if (boardVals[i, j, k] != 0)
{
for (int l = 0; l < 3; l++)
{
for (int m = 0; m < 3; m++)
{
//if two values are not the same entry and are equal, set that entry to invalid
if (!(l == j && m == k) && boardVals[i, j, k] == boardVals[i, l, m])
{
retFlag = false;
}
}
}
}
}
}
}
return retFlag;
}
//returns an array of all the values in each row
public int[,] makeRows(int[,,] boardState)
{
int[,] rows = new int[9, 9];
for (int i = 0; i < 9; i++)
for (int j = 0; j < 9; j++)
rows[i, j] = boardState[j / 3 + ((i / 3) * 3), j % 3, i - ((i / 3) * 3)];
return rows;
}
//returns an array of all values in each column
public int[,] makeCols(int[,,] boardState)
{
int[,] cols = new int[9, 9];
for (int i = 0; i < 9; i++)
for (int j = 0; j < 9; j++)
cols[i, j] = boardState[((j / 3) * 3) + (i / 3), i - ((i / 3) * 3), j % 3];
return cols;
}
//update the board state to a state read in from a file
public void updateFromFile(Stream update)
{
int[,,] newVals = new int[9, 3, 3];
int[,,] newFixed = new int[9, 3, 3];
StreamReader file = new StreamReader(update);
for (int i = 0; i < 9; i++){
for (int j = 0; j < 3; j++){
for (int k = 0; k < 3; k++){
boardVals[i, j, k] = (int)char.GetNumericValue((char)file.Read());
}
}
}
for (int i = 0; i < 9; i++){
for (int j = 0; j < 3; j++){
for (int k = 0; k < 3; k++){
fixedVals[i, j, k] = (0 != ((int)char.GetNumericValue((char)file.Read())));
}
}
}
file.Close();
}
public void Solve(int entry, int val)
{
Console.WriteLine("This is call number " + ++testcount);
//returns if all values are filled and valid
if (entry == 81)
{
Console.WriteLine("Solved!");
return;
}
//creating reference coordinates based on entry value
int reg = entry / 9;
int col = (entry - (reg * 9)) % 3;
int row = (entry - (reg * 9)) / 3;
//if current entry being checked is a fixed value, go the next value
if (!fixedVals[reg, row, col])
{
Console.WriteLine("");
Console.WriteLine("Making an attempt at entry " + entry + " using value " + val);
Console.WriteLine("This entry is at region " + reg + ", col " + col + ", row " + row);
//assign entry the value to be tested
boardVals[reg, row, col] = val;
//if the value is valid, go to the next entry
if (isValid())
{
Console.WriteLine("Entry Valid at " + entry);
val = 1;
entry++;
Console.WriteLine("Trying the next entry at " + entry);
Solve(entry, val);
}
//if the value is invlid and all 9 values have not been tried,
//increment value and call again at same entry
if (!isValid() && val < 9)
{
Console.WriteLine("Entry Invalid at " + entry + " with value " + val);
++val;
Console.WriteLine("Trying again with value " + val);
Solve(entry, val);
}
//if the value in invalid and all 9 values have been tried,
//zero out the entry and go back to the previous non-fixed entry
if (!isValid() && val == 9)
{
do
{
boardVals[reg, row, col] = 0;
Console.WriteLine("Reached Value 9 and was still invalid");
--entry;
Console.WriteLine("Trying again at entry " + entry);
Console.WriteLine("The value at that entry is " + boardVals[reg, row, col]);
reg = entry / 9;
col = (entry - reg * 9) % 3;
row = (entry - reg * 9) / 3;
if (fixedVals[reg, row, col])
Console.WriteLine("But that's a fixed value, so I'll go back one more");
Console.WriteLine("");
} while (boardVals[reg, row, col] == 9 || fixedVals[reg, row, col]);
val = boardVals[reg, row, col] + 1;
Solve(entry, val);
}
}
else Solve(++entry, val);
}
}
}
The big bad warning
If you use recursion in a program and reach a point where having a StackOverflowException is an actual threat, please do not consider increasing the stack size as a valid solution.
If you encounter a StackOverflowException you are doing something very wrong; you should instead be using a Stack<T> for depth-first processing, or a Queue<T> for breadth-first processing. Example.
The solution
This can be achieved by using editbin.exe, which is installed with this package;
Find the location of editbin.exe, mine was located at C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.14.26428\bin\Hostx64\x64\editbin.exe, I would suggest using Everything by voidtools in lieu of Microsoft's awful search to find this.
Set the stack size manually
Navigate to your bin folder and execute the following:
"<full path of editbin.exe>" /stack:<stack size in bytes, decimal> <your executable name>
For example I executed this:
"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.14.26428\bin\Hostx64\x64\EDITBIN.EXE" /stack:2097152 ExampleProgram.exe
Which set the stack reserve size to 2MB.
With this I was capable of reaching twice the recursion level; (1MB stack reserve on left, 2MB stack reserve on right).
Set the stack size automatically
Right click on your project and select 'Options', then click on 'Build Events' and add the following to your post-build events:
"<full path of editbin.exe>" /stack:<stack size in bytes, decimal> "$(TargetPath)"
For example I added
"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.14.26428\bin\Hostx64\x64\EDITBIN.EXE" /stack:2097152 "$(TargetPath)"
This will run editbin.exe every time you build your executable.
Note: You will see a lot lower level of recursion reached when running your program from Visual Studio as you will from running it explicitly via explorer or cmd. You will still however see a 2x increase in the level of recursion met if moving from a 1MB stack reserve to a 2MB stack reserve.
Perhaps set the Stack Reserve Size in Visual Studio:
Project -> Properties -> Configuration Properties -> Linker -> System -> Stack Reserve Size
This can also be done via the command-line or programatically when a thread is created:
https://learn.microsoft.com/en-us/cpp/build/reference/stack-stack-allocations?view=vs-2017