For graphs of mathematical functions, see Graph of a function. For other uses, see Graph (disambiguation). A drawing of a graph. In mathematics graph theory is the study of graphs, which are mathematical structures used.In mathematics, and more specifically in graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, any acyclic connected graph is a tree. A forest is a disjoint union of trees.
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
GROUP THEORY
CONSTRUCTING CHARACTER TABLE IS FOLLOWED BY 4 STEPS through orthogonality rule
STEP 1 : FIND THE NUMBER OF IRRs
Number of IRs = Number of classes.- In C3v
there is 3 classes so Г1,Г2 Г3
STEP 2: FIND OUT THE DIMENSIONS
Sum of the squares of the dimensions of IRRs = Order of the Group
We have to identify a set of 3 positive integers (I1 I2 I3 dimensions of IRRs) which satisfy this condition
The only value of I which satisfy this condition are 1,1,2 so that I12 = I22
SO 3 IRRs of C3v ,two are 1-D and one is 2-D
STEP 3 : FIND character of two 1-D IRRs
In every point group is 1-D IRR who characters are equal to 1 .this IRRs is called totally symmetric IRR
Thus we have
Which satisfy the rule sum of the square of the characters of all operations in any IRR is equal to the order of the group
FIND characters of another 1-D IRRsConditions
All the characters of this IRRs equal to +1 or -1
Also IRR must be Orthogonal to Г1
Г1 has six +1 as characters of the sym operations 1 for E ; 2 (1) for C3 ; 3 (1) for σv
The characters of Г2 is Orthogonal to Г1 so it has three +1 and three -1
For E in 1-D is +1 ; for 2 C3 in 1-D is +1 ; FOR 3 σV is -1
For graphs of mathematical functions, see Graph of a function. For other uses, see Graph (disambiguation). A drawing of a graph. In mathematics graph theory is the study of graphs, which are mathematical structures used.In mathematics, and more specifically in graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, any acyclic connected graph is a tree. A forest is a disjoint union of trees.
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
GROUP THEORY
CONSTRUCTING CHARACTER TABLE IS FOLLOWED BY 4 STEPS through orthogonality rule
STEP 1 : FIND THE NUMBER OF IRRs
Number of IRs = Number of classes.- In C3v
there is 3 classes so Г1,Г2 Г3
STEP 2: FIND OUT THE DIMENSIONS
Sum of the squares of the dimensions of IRRs = Order of the Group
We have to identify a set of 3 positive integers (I1 I2 I3 dimensions of IRRs) which satisfy this condition
The only value of I which satisfy this condition are 1,1,2 so that I12 = I22
SO 3 IRRs of C3v ,two are 1-D and one is 2-D
STEP 3 : FIND character of two 1-D IRRs
In every point group is 1-D IRR who characters are equal to 1 .this IRRs is called totally symmetric IRR
Thus we have
Which satisfy the rule sum of the square of the characters of all operations in any IRR is equal to the order of the group
FIND characters of another 1-D IRRsConditions
All the characters of this IRRs equal to +1 or -1
Also IRR must be Orthogonal to Г1
Г1 has six +1 as characters of the sym operations 1 for E ; 2 (1) for C3 ; 3 (1) for σv
The characters of Г2 is Orthogonal to Г1 so it has three +1 and three -1
For E in 1-D is +1 ; for 2 C3 in 1-D is +1 ; FOR 3 σV is -1
In this short paper, we have provided a new method for finding the square for any positive
integer. Furthermore, a new type of numbers are called T-semi prime numbers are studied by using the prime
numbers.
Enumeration methods are very important in a variety of settings, both mathematical and applications. For many problems there is actually no real hope to do the enumeration in reasonable time since the number of solutions is so big. This talk is about how to compute at the limit.
The talk is decomposed into:
(a) Regular enumeration procedure where one uses computerized case distinction.
(b) Use of symmetry groups for isomorphism checks.
(c) The augmentation scheme that allows to enumerate object up to isomorphism without keeping the full list in memory.
(d) The homomorphism principle that allows to map a complex problem to a simpler one.
Given a dataset, in the first question I evaluate the transmission mechanism of the monetary policy by means of a VAR model using as information set the vector of three variables yt = (Δgdpt , inflt , ratet)’, where Δgdpt is the growth rate of the gdp, inflt is the inflation rate and ratet is the policy interest rate. Using the first three series reported in the dataset, I specify and estimate a VAR model and discuss the monetary transmission mechanism by calculating structural impulse response functions. Moreover, I test whether the policy interest rate does cause (in the Granger sense) the other two variables in the system. Finally, I choose one of the three variables and estimate an appropriate ARMA model, commenting on the differences with respect to the corresponding equation in the VAR model.
In the second question, I verify that the three variables are nonstationary and, using the Engle-Granger approach, whether the series are effectively cointegrated. Moreover, I verify if and which variable reacts to the disequilibria from the cointegrating relation.
-Suma, Resta y Valor Numérico de Expresiones Algebraicas
-Multiplicación y División de Expresiones Algebraicas
-Productos Notables de Expresiones Algebraicas
-Factorización por Productos Notables
BUS 308 Week 4 Lecture 3 Developing Relationships in Exc.docxShiraPrater50
BUS 308 Week 4 Lecture 3
Developing Relationships in Excel
Expected Outcomes
After reading this lecture, the student should be able to:
1. Calculate the t-value for a correlation coefficient
2. Calculate the minimum statistically significant correlation coefficient value.
3. Set-up and interpret a Linear Regression in Excel
4. Set-up and interpret a Multiple Regression in Excel
Overview
Setting up correlations and regressions in Excel is fairly straightforward and follows the
approaches we have seen with our previous tools. This involves setting up the data input table,
selecting the tools, and inputting information into the appropriate parts of the input window.
Correlations
Question 1
Data set-up for a correlation is perhaps the simplest of any we have seen. It involves
simply copying and pasting the variables from the Data tab to the Week 4 worksheet. Again,
paste them to the right of the question area. The screenshot below has the data for both the
question 1 correlation and the question 2 multiple regression pasted them starting at column V.
You can paste all the data at once or add the multiple regression variables later (as long as you
do not sort the original data).
Specifically, for Question 1, copy the salary data to column V (for example). Then copy
the Midpoint thru Service columns and paste them next to salary. Finally copy the Raise column
and paste it next to the service column. Notice that our data input range for this question now
includes Salary in Column V and the other interval level variables found in Columns W thru AA.
Question 1 asks for the correlation among the interval/ratio level variables with salary
and says to exclude compa-ratio. For our example, we will correlation compa-ratio with the
other interval/ratio level variables with the exclusion of salary. Since compa-ratio equals the
salary divided by the midpoint, it does not seem reasonable to use salary in predicting compa-
ratio or compa-ratio in predicting salary.
Pearson correlations can be performed in two ways within Excel. If we have a single pair
of variables we are interested in, for example compa-ratio and performance rating, we could use
the fx (or Formulas) function CORREL(array1, array2) (note array means the same as range) to
give us the correlation.
However, if we have several variables we want to correlate at the same time, it is more
effective to use the Correlation function found in the Analysis ToolPak in the Data Analysis tab.
Set up of the input data for Correlation is simple. Just ensure that all of the variables to be
correlated are listed together, and only include interval or ratio level data. For our data set, this
would mean we cannot include gender or degree; even though they look like numerical data the 0
and 1 are merely labels as far as correlation is concerned.
In the Correlation data input box shown below, list the entire data range, indicate if your
dat ...
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Gamma function for different negative numbers and its applications
1. Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.8, 2013
76
Gamma Function for Different Negative Numbers and Its
Applications
Adel Ahmed Haddaw Hussain .J. Shehan
Isra University- Jordan- Amman Iraqi University- Iraq
Abstract
The purpose of this paper is to develop and obtain a formula for the gamma function (according to science
researchers) for different negative numbers using mathematical inference and Striling’s Asymptotic Formula.
Compression between the previous formulae and developed formula for negative numbers such as (-0.5,-1.5 )
have been conducted, so the results were identical.
Introduction
In mathematics, the gamma function (represented by the capital Greek letter Γ) is an extension of the factorial
function, with its argument shifted down by 1, to real and complex numbers.
The gamma function is a component in various probability-distribution functions, and as such it is applicable in
the fields of probability and statistics, as well as combinatorics.
The behavior for negative n is more intricate. Euler's integral does not converge for n ≤ 0, but the function it
defines in the positive complex half-plane has a unique analytic continuation to the negative half-plane.
The gamma function is nonzero everywhere along the real line, although it comes arbitrarily close to zero as n →
∞.
In fact, researchers need to deal with the gamma function for different numbers (integers or fractional) in
resolving some of the issues facing them in their studies associated with this function, specially statistical
distributions, for example (Weibull distribution and Beta distribution). Also the gamma function for positive
numbers can be obtained using well-known mathematical formulae, but for negative numbers are unknown
except some numbers, such as – 0.5 , - 1.5 , - 2.5 an so on. In this paper ,the development of gamma function for
different negative numbers have been performed using mathematical inference and Striling’s Asymptotic
Formula.
The literature review related with the gamma function for different numbers (integers or fractional). (Spiegel,
1968,1986) dealt with the gamma function for numbers such as, – 0.5, - 1.5, - 2.5 and so on. Also the gamma
function for different numbers is shown in figure 1 so that for helping to develop and obtain the gamma function
for different negative numbers. Also( Abramowitz,1965) and( Tuma, 1970) viewed and dealt with calculation of
the gamma function (Γn) for positive numbers and some negative numbers.(Buck,1978,1986,2013) dealt with
the gamma function( Γn), n < 0 , for example 0.5-Γ , 1.5-Γ .
From this Literature Review, it can be seen that there is no dealt with negative numbers which differ from – 0.5,
-1.5, -2.5 and so on. In this paper it has been dealt and calculated different negative numbers such as, -0.2 , -0.4 ,
-0.6, - 1.1, -1.9 and so on. Some particular values of gamma function are given, (www.google,2013).
The purpose of this paper was to develop and obtain a formula for the gamma function for different negative
numbers, develop and create a table of gamma function for different negative numbers.
Materials And Methods
In this section a brief discussion of methodology and Gamma function issues .The gamma function, if n is a
positive integer can be written as follows :
Γn = (n-1)! (1)
The gamma function is defined for all complex numbers except the negative integers and zero. For complex
numbers with a positive real part, it is defined via an improper integral that converges is given by formula (4).
The behavior of Γ(n) for an increasing positive variable is simple : it grows quickly — faster than an
exponential function. Asymptotically as n → ∞, the magnitude of the gamma function is given by Stirling's
formula
Γn+1 ~ square root(2 π n(n/e) , (2)
here the symbol ~ means that the quotient of both sides converges to 1.
The gamma function for different numbers is shown in figure 1 in order to explain some points about it. Also
previous Gamma function formulae and Gamma function developed are presented as follows:
From mathematical references, figure 1 shows that there are different negative numbers for Gamma function
without determination of mathematical formula for calculating it. This figure produced starting point and
important issue of the development Gamma function values.
2. Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.8, 2013
77
Figure 1 Gamma function for different values (Spiegel,1968, p 101)
It can be seen that from figure1:
Firstly: Positive Numbers:
As (n) approaches from zero, result that Γn becomes large and large, then it becomes indefinite for numbers
near from zero. Mathematically, it can be declared, see (Tuma,1970).
From the formula 1, it can be seen that:
Secondly: Negative Numbers
1- For the numbers -1 < n < 0, Γn becomes negative or As it approaches from (-1) it becomes indefinite. Note
that for case (- 0.5), Γn are between (-3) and (-4).
2- For the numbers -2 < n < 2, Γn becomes positive or As it approaches from (-2) it becomes indefinite too.
Note that for case (- 1.5) , Γn are between (2) and (3).
3- And so on for others numbers, Γn values are between negative and positive and it approaches more and more
to zero.
With regard to the formulae of the gamma function account shall be as follows
Mathematically and see (Abramowitz,1965 p156), the definition of the gamma function as follows:
As n< 0, (Buck, 1978, p299) stated:
3. Mathematical Theory and Modeling
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.8, 2013
According to (6) as an application, (Buck, 1978, p299) stated:
So let –n = - m+1/2
The general formula as follows:
From(7), it can be seen that the value of the gamma function for the numbers
the formation of a series of repeated substitutions for factorial that number to be up to the first term of the extent
Γ0.5. So what about negative numbers that differ from the
as follows:
Through mathematical inference, can be obtained on the gamma function for any
series of repeated substitutions for factorial to a negative number refer to
term is greater than zero and can be expressed by developed formula as follows:
-n+m calculate as a positive number of log series Striling,s Asymptotic Formula, see(Spiegel,1968):
Where Γ-n+m calculate as a positive number of log series Striling
Results AND DISCUSSION
In this section, we have dealt with some particular values ,
different negative numbers.
Firstly, some particular values to verify that developed formula (8) and compare it with formula (7) on two
numbers (- 0.5, - 1.5) when m=0 as follows:
From these values, it can be seen that there is no dealt with negative numbers which differ from
2.5 and so on and which are identical with negative numbers obtained by formula(8).
nd Modeling
0522 (Online)
78
According to (6) as an application, (Buck, 1978, p299) stated:
From(7), it can be seen that the value of the gamma function for the numbers- 0.5, -1.5, -
the formation of a series of repeated substitutions for factorial that number to be up to the first term of the extent
ative numbers that differ from the -0.5, -1.5,-2,5 and so on. Developed formula will be
as follows:
Through mathematical inference, can be obtained on the gamma function for any negative number to form a
series of repeated substitutions for factorial to a negative number refer to formula(6) to be up to a positive first
term is greater than zero and can be expressed by developed formula as follows:
+m calculate as a positive number of log series Striling,s Asymptotic Formula, see(Spiegel,1968):
n+m calculate as a positive number of log series Striling,
s Asymptotic Formula, see(Spiegel,1968):
In this section, we have dealt with some particular values , developed and create a table of gamma function for
Firstly, some particular values to verify that developed formula (8) and compare it with formula (7) on two
1.5) when m=0 as follows:
it can be seen that there is no dealt with negative numbers which differ from
so on and which are identical with negative numbers obtained by formula(8).
www.iiste.org
-2.5 and so on based on
the formation of a series of repeated substitutions for factorial that number to be up to the first term of the extent
2,5 and so on. Developed formula will be
negative number to form a
formula(6) to be up to a positive first
term is greater than zero and can be expressed by developed formula as follows:
+m calculate as a positive number of log series Striling,s Asymptotic Formula, see(Spiegel,1968):
s Asymptotic Formula, see(Spiegel,1968):
developed and create a table of gamma function for
Firstly, some particular values to verify that developed formula (8) and compare it with formula (7) on two
1.5) when m=0 as follows:
it can be seen that there is no dealt with negative numbers which differ from – 0.5, -1.5, -
so on and which are identical with negative numbers obtained by formula(8).
4. Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.3, No.8, 2013
79
Secondly, developed and create a table of gamma function for different negative numbers is shown on
table 1.
Table 1 the gamma function for different negative numbers (n<0) according to the formula(8)
9876543210m
n
-11.79-13.16-14.94-17.31-20.63-25.62-33.94-50.60-100.59∞0.0
-6.07-6.35-6.66-7.01-7.42-7.88-8.42-9.04-9.79-10.69- 0.1
-4.42-4.53-4.64-4.77-4.90-5.05-5.22-5.40-5.60-5.82- 0.2
-3.76-3.80-3.85-3.90-3.96-4.02-4.09-4.16-4.24-4.38- 0.3
-3.55-3.55-3.56-3.58-3.59-3.61-3.63-2.66-3.69-3.78- 0.4
-3.67-3.64-3.62-3.60-3.58-3.57-3.56-3.54-3.60-3.54- 0.5
-4.19-4.11-4.04-3.98-3.92-3.86-3.82-3.77-3.73-3.70- 0.6
-5.52-5.32-5.14-4.98-4.83-4.70-4.58-4.46-4.37-4.28- 0.7
-9.68-8.94-8.31-7.78-7.32-6.91-6.57-6.26-5.98-5.74- 0.8
-100.4-50.45-33.80-25.48-20.5017.18--14.81-13.10-11.67-12.57- 0.9
10.8112.1913.9616.3319.6524.6332.9549.6199.59∞- 1.0
5.105.385.696.056.456.917.958.088.829.72- 1.1
3.433.543.653.783.924.074.244.424.634.85- 1.2
2.712.762.862.872.932.103.073.153.243.33- 1.3
2.382.402.422.452.482.512.542.582.622.66- 1.4
2.372.302.302.312.312.322.322.342.352.36- 1.5
2.482.452.422.402.372.362.342.332.322.31- 1.6
3.092.992.912.832.762.702.652.602.552.51- 1.7
5.124.754.444.183.963.763.593.443.313.19- 1.8
50.4725.4817.1613.0010.518.857.676.796.115.56- 1.9
Conclusion
In this paper, from literature review, there are no studies dealt with the gamma function for negative numbers
vary, for example, -0.5, -1.5, and so on. In this paper, a formula was developed for gamma function for different
negative numbers, for example, -0.2 -0.4 , -0.6, - 1.1, -1.9, and so on. Developed and create a table of gamma
function for different negative numbers, which can be used by researchers interested in. Also compression
between the previous formulae and developed formula of gamma function for negative numbers, for example (-
0.5,-1.5) have been conducted, so the results were identical.
Acknowledgements
The authors are grateful to Abramowitz and Stegum, Buck, Spiegel ,and Tuma because of their stated and
viewed formulae with negative numbers – 0.5, -1.5, -2.5 and so on.
REFERENCE
1- Abramowitz , M. and Stegum.(1965). Handbook of Mathematical Function. Dover Press .
2- Buck, R.C.(1978,1986,2003).Advanced Calculus. 3rf Ed and different Ed.. McGraw- Hill .
3- Spiegel, M.R.(1968,1986). Mathematical Handbook for different Ed. McGraw- Hill .
4- Tuma, J.J.(1970).Engineering Mathematics Handbook. McGraw- Hill.
5- WWW.Google,gamma function. Cited on 1-7-2013.
5. This academic article was published by The International Institute for Science,
Technology and Education (IISTE). The IISTE is a pioneer in the Open Access
Publishing service based in the U.S. and Europe. The aim of the institute is
Accelerating Global Knowledge Sharing.
More information about the publisher can be found in the IISTE’s homepage:
http://www.iiste.org
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collaborating with academic institutions around the world. There’s no deadline for
submission. Prospective authors of IISTE journals can find the submission
instruction on the following page: http://www.iiste.org/Journals/
The IISTE editorial team promises to the review and publish all the qualified
submissions in a fast manner. All the journals articles are available online to the
readers all over the world without financial, legal, or technical barriers other than
those inseparable from gaining access to the internet itself. Printed version of the
journals is also available upon request of readers and authors.
IISTE Knowledge Sharing Partners
EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open
Archives Harvester, Bielefeld Academic Search Engine, Elektronische
Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial
Library , NewJour, Google Scholar